default search action

combined dblp search
author search
venue search
publication search

ask others

Cho-Jui Hsieh

> Home > Persons

Person information

Refine list

refinements active!

zoomed in on ?? of ?? records

view refined list in

export refined list as

showing all ?? records

2020 – today

see FAQ

What is the meaning of the colors in the publication lists?

2024
[j34]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/access/WangLHL24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/WangLHL24
Xiawei Wang, Yao Li, Cho-Jui Hsieh, Thomas C. M. Lee:
Uncovering Distortion Differences: A Study of Adversarial Attacks and Machine Discriminability. IEEE Access 12: 117872-117883 (2024)
[j33]
- view
  authority control:
- export record
  dblp key:
  - journals/nn/HwangZCHL24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nn/HwangZCHL24
Jaehui Hwang, Huan Zhang, Jun-Ho Choi, Cho-Jui Hsieh, Jong-Seok Lee:
Temporal shuffling for defending deep action recognition models against adversarial attacks. Neural Networks 169: 388-397 (2024)
[j32]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/tacl/ShiWYCCH24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tacl/ShiWYCCH24
Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh:
Red Teaming Language Model Detectors with Language Models. Trans. Assoc. Comput. Linguistics 12: 174-189 (2024)
[j31]
- view
  authority control:
- export record
  dblp key:
  - journals/tetci/LiTHL24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tetci/LiTHL24
Yao Li, Tongyi Tang, Cho-Jui Hsieh, Thomas C. M. Lee:
Adversarial Examples Detection With Bayesian Neural Network. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3654-3664 (2024)
[j30]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - journals/tmlr/0002HL24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tmlr/0002HL24
Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee:
Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits. Trans. Mach. Learn. Res. 2024 (2024)
[j29]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - journals/tmlr/XieLBH24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tmlr/XieLBH24
Tong Xie, Haoyu Li, Andrew Bai, Cho-Jui Hsieh:
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation. Trans. Mach. Learn. Res. 2024 (2024)
[c207]
- view
  authority control:
- export record
  dblp key:
  - conf/acl/ChenJCHY024
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/ChenJCHY024
Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang:
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. ACL (1) 2024: 254-266
[c206]
- view
  authority control:
- export record
  dblp key:
  - conf/acl/HsiehSYD24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/HsiehSYD24
Cho-Jui Hsieh, Si Si, Felix Yu, Inderjit S. Dhillon:
Automatic Engineering of Long Prompts. ACL (Findings) 2024: 10672-10685
[c205]
- view
  authority control:
- export record
  dblp key:
  - conf/acl/WangSBH24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/WangSBH24
Yihan Wang, Zhouxing Shi, Andrew Bai, Cho-Jui Hsieh:
Defending LLMs against Jailbreaking Attacks via Backtranslation. ACL (Findings) 2024: 16031-16046
[c204]
- view
  - electronic edition @ aclanthology.org (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/emnlp/XiongNLWC0HTL24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/emnlp/XiongNLWC0HTL24
Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei:
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks. EMNLP 2024: 12983-12997
[c203]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/DuvvuriDAHD24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/DuvvuriDAHD24
Sai Surya Duvvuri, Devvrit, Rohan Anil, Cho-Jui Hsieh, Inderjit S. Dhillon:
Combining Axes Preconditioners through Kronecker Approximation for Deep Learning. ICLR 2024
[c202]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/WangSLLYHDK24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/WangSLLYHDK24
Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar:
Two-stage LLM Fine-tuning with Less Specialization and More Generalization. ICLR 2024
[c201]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/Xiong0G0S0HY24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/Xiong0G0S0HY24
Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan:
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding. ICLR 2024
[c200]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/ChiangLSFHL24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/ChiangLSFHL24
Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun, Chien Feng, Cho-Jui Hsieh, Chun-Yi Lee:
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning. ICML 2024
[c199]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/CuiWXH24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/CuiWXH24
Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-Jui Hsieh:
Ameliorate Spurious Correlations in Dataset Condensation. ICML 2024
[c198]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/Wang0HG24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/Wang0HG24
Ruochen Wang, Ting Liu, Cho-Jui Hsieh, Boqing Gong:
On Discrete Prompt Optimization for Diffusion Models. ICML 2024
[c197]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/WangACZHH24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/WangACZHH24
Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh:
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. ICML 2024
[c196]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/YangDSHT024
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/YangDSHT024
Lujie Yang, Hongkai Dai, Zhouxing Shi, Cho-Jui Hsieh, Russ Tedrake, Huan Zhang:
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation. ICML 2024
[c195]
- view
  authority control:
- export record
  dblp key:
  - conf/kdd/KharbandaGSBHB24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/KharbandaGSBHB24
Siddhant Kharbanda, Devaansh Gupta, Erik Schultheis, Atmadeep Banerjee, Cho-Jui Hsieh, Rohit Babbar:
Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features. KDD 2024: 1360-1371
[c194]
- view
  authority control:
- export record
  dblp key:
  - conf/wsdm/ChangJZATHYV24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/wsdm/ChangJZATHYV24
Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan:
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. WSDM 2024: 77-86
[c193]
- view
  authority control:
- export record
  dblp key:
  - conf/www/JiangCZHY24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/www/JiangCZHY24
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Entity Disambiguation with Extreme Multi-label Ranking. WWW 2024: 4172-4180
[i193]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2401-07298
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2401-07298
Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee:
Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems. CoRR abs/2401.07298 (2024)
[i192]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2401-09031
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2401-09031
Tong Xie, Haoyu Li, Andrew Bai, Cho-Jui Hsieh:
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation. CoRR abs/2401.09031 (2024)
[i191]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2402-01057
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2402-01057
Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun, Chien Feng, Cho-Jui Hsieh, Chun-Yi Lee:
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning. CoRR abs/2402.01057 (2024)
[i190]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2402-08096
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2402-08096
Andrew Bai, Chih-Kuan Yeh, Cho-Jui Hsieh, Ankur Taly:
Which Pretrain Samples to Rehearse when Finetuning Pretrained Models? CoRR abs/2402.08096 (2024)
[i189]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2402-12741
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2402-12741
Sen Li, Ruochen Wang, Cho-Jui Hsieh, Minhao Cheng, Tianyi Zhou:
MuLan: Multimodal-LLM Agent for Progressive Multi-Object Diffusion. CoRR abs/2402.12741 (2024)
[i188]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2402-15751
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2402-15751
Yong Liu, Zirui Zhu, Chaoyu Gong, Minhao Cheng, Cho-Jui Hsieh, Yang You:
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning. CoRR abs/2402.15751 (2024)
[i187]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2402-16459
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2402-16459
Yihan Wang, Zhouxing Shi, Andrew Bai, Cho-Jui Hsieh:
Defending LLMs against Jailbreaking Attacks via Backtranslation. CoRR abs/2402.16459 (2024)
[i186]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2402-16914
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2402-16914
Xirui Li, Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho-Jui Hsieh:
DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers. CoRR abs/2402.16914 (2024)
[i185]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2404-07956
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2404-07956
Lujie Yang, Hongkai Dai, Zhouxing Shi, Cho-Jui Hsieh, Russ Tedrake, Huan Zhang:
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation for Efficient Synthesis and Verification. CoRR abs/2404.07956 (2024)
[i184]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2404-17709
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2404-17709
Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee:
Low-rank Matrix Bandits with Heavy-tailed Rewards. CoRR abs/2404.17709 (2024)
[i183]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2405-03714
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2405-03714
Siddhant Kharbanda, Devaansh Gupta, Gururaj K, Pankaj Malhotra, Cho-Jui Hsieh, Rohit Babbar:
UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification. CoRR abs/2405.03714 (2024)
[i182]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2405-04545
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2405-04545
Siddhant Kharbanda, Devaansh Gupta, Erik Schultheis, Atmadeep Banerjee, Cho-Jui Hsieh, Rohit Babbar:
Learning label-label correlations in Extreme Multi-label Classification via Label Features. CoRR abs/2405.04545 (2024)
[i181]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2405-20947
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2405-20947
Justin Cui, Wei-Lin Chiang, Ion Stoica, Cho-Jui Hsieh:
OR-Bench: An Over-Refusal Benchmark for Large Language Models. CoRR abs/2405.20947 (2024)
[i180]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2405-21063
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2405-21063
Zhouxing Shi, Qirui Jin, Zico Kolter, Suman Jana, Cho-Jui Hsieh, Huan Zhang:
Neural Network Verification with Branch-and-Bound for General Nonlinearities. CoRR abs/2405.21063 (2024)
[i179]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2406-01970
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2406-01970
Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng:
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise. CoRR abs/2406.01970 (2024)
[i178]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2406-02965
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2406-02965
Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh:
Understanding the Impact of Negative Prompts: When and How Do They Take Effect? CoRR abs/2406.02965 (2024)
[i177]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2406-03720
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2406-03720
Minzhou Pan, Yi Zeng, Xue Lin, Ning Yu, Cho-Jui Hsieh, Peter Henderson, Ruoxi Jia:
JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits. CoRR abs/2406.03720 (2024)
[i176]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2406-06609
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2406-06609
Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-Jui Hsieh:
Ameliorate Spurious Correlations in Dataset Condensation. CoRR abs/2406.06609 (2024)
[i175]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2406-17224
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2406-17224
Ruochen Wang, Si Si, Felix Yu, Dorothea Wiesmann, Cho-Jui Hsieh, Inderjit S. Dhillon:
Large Language Models are Interpretable Learners. CoRR abs/2406.17224 (2024)
[i174]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2406-17806
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2406-17806
Xirui Li, Hengguang Zhou, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh:
MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries? CoRR abs/2406.17806 (2024)
[i173]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2407-00256
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2407-00256
Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh:
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. CoRR abs/2407.00256 (2024)
[i172]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2407-01606
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2407-01606
Ruochen Wang, Ting Liu, Cho-Jui Hsieh, Boqing Gong:
On Discrete Prompt Optimization for Diffusion Models. CoRR abs/2407.01606 (2024)
[i171]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2407-05134
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2407-05134
Kuei-Chun Kao, Ruochen Wang, Cho-Jui Hsieh:
Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns? CoRR abs/2407.05134 (2024)
[i170]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2407-21159
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2407-21159
Jack He, Jianxing Zhao, Andrew Bai, Cho-Jui Hsieh:
Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative Models. CoRR abs/2407.21159 (2024)
[i169]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2409-03021
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2409-03021
Yu-Hsiang Wang, Andrew Bai, Che-Ping Tsai, Cho-Jui Hsieh:
CLUE: Concept-Level Uncertainty Estimation for Large Language Models. CoRR abs/2409.03021 (2024)
[i168]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2409-06131
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2409-06131
Neha Prakriya, Jui-Nan Yen, Cho-Jui Hsieh, Jason Cong:
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review. CoRR abs/2409.06131 (2024)
2023
[j28]
- view
  authority control:
- export record
  dblp key:
  - journals/datamine/LiangHL23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/datamine/LiangHL23
Yuefeng Liang, Cho-Jui Hsieh, Thomas C. M. Lee:
Fast block-wise partitioning for extreme multi-label classification. Data Min. Knowl. Discov. 37(6): 2192-2215 (2023)
[j27]
- view
  authority control:
- export record
  dblp key:
  - journals/natmi/KadambiMHSS23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/natmi/KadambiMHSS23
Achuta Kadambi, Celso de Melo, Cho-Jui Hsieh, Mani B. Srivastava, Stefano Soatto:
Incorporating physics into data-driven computer vision. Nat. Mac. Intell. 5(6): 572-580 (2023)
[j26]
- view
  authority control:
- export record
  dblp key:
  - journals/tnn/LiuLHT23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tnn/LiuLHT23
Liu Liu, Ji Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastically Controlled Compositional Gradient for Composition Problems. IEEE Trans. Neural Networks Learn. Syst. 34(2): 611-622 (2023)
[c192]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - conf/aaai/QinXYH23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aaai/QinXYH23
Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh:
Training Meta-Surrogate Model for Transferable Adversarial Attack. AAAI 2023: 9516-9524
[c191]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - conf/aaai/OvalleCH23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aaai/OvalleCH23
Anaelia Ovalle, Evan Czyzycki, Cho-Jui Hsieh:
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract). AAAI 2023: 16292-16293
[c190]
- view
  authority control:
- export record
  dblp key:
  - conf/acl/LingZXLCH023
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/LingZXLCH023
Zixuan Ling, Xiaoqing Zheng, Jianhan Xu, Jinshu Lin, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang:
Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations. ACL (Findings) 2023: 11454-11465
[c189]
- view
  authority control:
- export record
  dblp key:
  - conf/cikm/ZhangWCLJHY23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cikm/ZhangWCLJHY23
Jiong Zhang, Yau-Shian Wang, Wei-Cheng Chang, Wei Li, Jyun-Yu Jiang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search. CIKM 2023: 4960-4966
[c188]
- view
  authority control:
- export record
  dblp key:
  - conf/cvpr/XiongWCYH23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/XiongWCYH23
Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh:
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning. CVPR 2023: 16323-16332
[c187]
- view
  authority control:
- export record
  dblp key:
  - conf/hotstorage/PrakriyaYMHC23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/hotstorage/PrakriyaYMHC23
Neha Prakriya, Yu Yang, Baharan Mirzasoleiman, Cho-Jui Hsieh, Jason Cong:
NeSSA: Near-Storage Data Selection for Accelerated Machine Learning Training. HotStorage 2023: 8-15
[c186]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/BaiYLRH23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/BaiYLRH23
Andrew Bai, Chih-Kuan Yeh, Neil Y. C. Lin, Pradeep Kumar Ravikumar, Cho-Jui Hsieh:
Concept Gradient: Concept-based Interpretation Without Linear Assumption. ICLR 2023
[c185]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/Lan0H23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/Lan0H23
Li-Cheng Lan, Huan Zhang, Cho-Jui Hsieh:
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories. ICLR 2023
[c184]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/SiYRHK23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/SiYRHK23
Si Si, Felix X. Yu, Ankit Singh Rawat, Cho-Jui Hsieh, Sanjiv Kumar:
Serving Graph Compression for Graph Neural Networks. ICLR 2023
[c183]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/ZengS0KLHJ23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/ZengS0KLHJ23
Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia:
Towards Robustness Certification Against Universal Perturbations. ICLR 2023
[c182]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/ChienZHJCMY23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/ChienZHJCMY23
Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu:
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. ICML 2023: 5616-5630
[c181]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/CuiWSH23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/CuiWSH23
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh:
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory. ICML 2023: 6565-6590
[c180]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/TsaiZYCHR23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/TsaiZYCHR23
Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar:
Representer Point Selection for Explaining Regularized High-dimensional Models. ICML 2023: 34469-34490
[c179]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/0002HL23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/0002HL23
Yue Kang, Cho-Jui Hsieh, Thomas Chun Man Lee:
Robust Lipschitz Bandits to Adversarial Corruptions. NeurIPS 2023
[c178]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/ChenLHRW0DLHLL23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/ChenLHRW0DLHLL23
Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le:
Symbolic Discovery of Optimization Algorithms. NeurIPS 2023
[c177]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/ChenZKCHG23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/ChenZKCHG23
Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu:
Why Does Sharpness-Aware Minimization Generalize Better Than SGD? NeurIPS 2023
[c176]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/DevvritDA0HD23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/DevvritDA0HD23
Devvrit, Sai Surya Duvvuri, Rohan Anil, Vineet Gupta, Cho-Jui Hsieh, Inderjit S. Dhillon:
A Computationally Efficient Sparsified Online Newton Method. NeurIPS 2023
[c175]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/ShiCBSHB023
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/ShiCBSHB023
Zhouxing Shi, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel, Yao Qin:
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data. NeurIPS 2023
[c174]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/WangC0H23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/WangC0H23
Yihan Wang, Jatin Chauhan, Wei Wang, Cho-Jui Hsieh:
Universality and Limitations of Prompt Tuning. NeurIPS 2023
[c173]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/YenDDH23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/YenDDH23
Jui-Nan Yen, Sai Surya Duvvuri, Inderjit S. Dhillon, Cho-Jui Hsieh:
Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization. NeurIPS 2023
[c172]
- view
  authority control:
- export record
  dblp key:
  - conf/sigir/JiangCZHY23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/sigir/JiangCZHY23
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Uncertainty Quantification for Extreme Classification. SIGIR 2023: 1649-1659
[c171]
- view
  authority control:
- export record
  dblp key:
  - conf/www/ChenCJYDH23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/www/ChenCJYDH23
Patrick H. Chen, Wei-Cheng Chang, Jyun-Yu Jiang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh:
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. WWW 2023: 3225-3235
[i167]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2302-01381
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2302-01381
Zhouxing Shi, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel, Yao Qin:
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data. CoRR abs/2302.01381 (2023)
[i166]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2302-06675
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2302-06675
Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Yao Liu, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le:
Symbolic Discovery of Optimization Algorithms. CoRR abs/2302.06675 (2023)
[i165]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2302-09440
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2302-09440
Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee:
Online Continuous Hyperparameter Optimization for Contextual Bandits. CoRR abs/2302.09440 (2023)
[i164]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2303-16341
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2303-16341
Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan:
Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding. CoRR abs/2303.16341 (2023)
[i163]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2304-13424
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2304-13424
Li-Cheng Lan, Huan Zhang, Cho-Jui Hsieh:
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories. CoRR abs/2304.13424 (2023)
[i162]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2305-12349
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2305-12349
Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu:
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. CoRR abs/2305.12349 (2023)
[i161]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2305-18543
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2305-18543
Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee:
Robust Lipschitz Bandits to Adversarial Corruptions. CoRR abs/2305.18543 (2023)
[i160]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2305-18787
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2305-18787
Yihan Wang, Jatin Chauhan, Wei Wang, Cho-Jui Hsieh:
Universality and Limitations of Prompt Tuning. CoRR abs/2305.18787 (2023)
[i159]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2305-19713
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2305-19713
Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh:
Red Teaming Language Model Detectors with Language Models. CoRR abs/2305.19713 (2023)
[i158]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2305-20002
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2305-20002
Che-Ping Tsai, Jiong Zhang, Eli Chien, Hsiang-Fu Yu, Cho-Jui Hsieh, Pradeep Ravikumar:
Representer Point Selection for Explaining Regularized High-dimensional Models. CoRR abs/2305.20002 (2023)
[i157]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2310-05007
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2310-05007
Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang:
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. CoRR abs/2310.05007 (2023)
[i156]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2310-07269
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2310-07269
Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu:
Why Does Sharpness-Aware Minimization Generalize Better Than SGD? CoRR abs/2310.07269 (2023)
[i155]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2310-09468
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2310-09468
Lucas Tecot, Cho-Jui Hsieh:
Randomized Benchmarking of Local Zeroth-Order Optimizers for Variational Quantum Systems. CoRR abs/2310.09468 (2023)
[i154]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2310-11866
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2310-11866
Liu Liu, Xuanqing Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastic Optimization for Non-convex Problem with Inexact Hessian Matrix, Gradient, and Function. CoRR abs/2310.11866 (2023)
[i153]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2311-09668
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2311-09668
Yuhang Li, Yihan Wang, Zhouxing Shi, Cho-Jui Hsieh:
Improving the Generation Quality of Watermarked Large Language Models via Word Importance Scoring. CoRR abs/2311.09668 (2023)
[i152]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2311-10085
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2311-10085
Devvrit, Sai Surya Duvvuri, Rohan Anil, Vineet Gupta, Cho-Jui Hsieh, Inderjit S. Dhillon:
A Computationally Efficient Sparsified Online Newton Method. CoRR abs/2311.10085 (2023)
[i151]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2311-10117
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2311-10117
Cho-Jui Hsieh, Si Si, Felix X. Yu, Inderjit S. Dhillon:
Automatic Engineering of Long Prompts. CoRR abs/2311.10117 (2023)
[i150]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2312-02429
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2312-02429
Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan:
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. CoRR abs/2312.02429 (2023)
[i149]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2312-14380
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2312-14380
Tiejin Chen, Yuanpu Cao, Yujia Wang, Cho-Jui Hsieh, Jinghui Chen:
Federated Learning with Projected Trajectory Regularization. CoRR abs/2312.14380 (2023)
2022
[j25]
- view
  authority control:
- export record
  dblp key:
  - journals/cviu/SuCCTHSSABYG22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cviu/SuCCTHSSABYG22
Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong:
2.5D visual relationship detection. Comput. Vis. Image Underst. 224: 103557 (2022)
[j24]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - journals/tmlr/ShaoSYCH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tmlr/ShaoSYCH22
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
On the Adversarial Robustness of Vision Transformers. Trans. Mach. Learn. Res. 2022 (2022)
[j23]
- view
  authority control:
- export record
  dblp key:
  - journals/tnn/LeeHL22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tnn/LeeHL22
Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee:
Local Critic Training for Model-Parallel Learning of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4424-4436 (2022)
[c170]
- view
  authority control:
- export record
  dblp key:
  - conf/acl/XuZZLHCH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/XuZZLHCH22
Jianhan Xu, Cenyuan Zhang, Xiaoqing Zheng, Linyang Li, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang:
Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples. ACL (Findings) 2022: 1694-1707
[c169]
- view
  authority control:
- export record
  dblp key:
  - conf/acl/YinSHC22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/YinSHC22
Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang:
On the Sensitivity and Stability of Model Interpretations in NLP. ACL (1) 2022: 2631-2647
[c168]
- view
  authority control:
- export record
  dblp key:
  - conf/acl/ZhangZWZCH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/ZhangZWZCH22
Cenyuan Zhang, Xiang Zhou, Yixin Wan, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh:
Improving the Adversarial Robustness of NLP Models by Information Bottleneck. ACL (Findings) 2022: 3588-3598
[c167]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/aistats/0002HS22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aistats/0002HS22
Qin Ding, Cho-Jui Hsieh, James Sharpnack:
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks. AISTATS 2022: 7111-7123
[c166]
- view
  authority control:
- export record
  dblp key:
  - conf/bigdataconf/ShaoSYCH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bigdataconf/ShaoSYCH22
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
Robust Text CAPTCHAs Using Adversarial Examples. IEEE Big Data 2022: 1495-1504
[c165]
- view
  authority control:
- export record
  dblp key:
  - conf/cvpr/LiuMCHY22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/LiuMCHY22
Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You:
Towards Efficient and Scalable Sharpness-Aware Minimization. CVPR 2022: 12350-12360
[c164]
- view
  authority control:
- export record
  dblp key:
  - conf/eccv/XiongH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/eccv/XiongH22
Yuanhao Xiong, Cho-Jui Hsieh:
Learning to Learn with Smooth Regularization. ECCV (23) 2022: 550-565
[c163]
- view
  authority control:
- export record
  dblp key:
  - conf/emnlp/YinLHC22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/emnlp/YinLHC22
Fan Yin, Yao Li, Cho-Jui Hsieh, Kai-Wei Chang:
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation. EMNLP 2022: 6567-6584
[c162]
- view
  authority control:
- export record
  dblp key:
  - conf/emnlp/XuLZZCHH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/emnlp/XuLZZCHH22
Jianhan Xu, Linyang Li, Jiping Zhang, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang:
Weight Perturbation as Defense against Adversarial Word Substitutions. EMNLP (Findings) 2022: 7054-7063
[c161]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/ChenHG22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/ChenHG22
Xiangning Chen, Cho-Jui Hsieh, Boqing Gong:
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations. ICLR 2022
[c160]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/ChienCHYZMD22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/ChienCHYZMD22
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon:
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. ICLR 2022
[c159]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/HuWHLHF22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/HuWHLHF22
Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng:
Generalizing Few-Shot NAS with Gradient Matching. ICLR 2022
[c158]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/LiuCCHY22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/LiuCCHY22
Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You:
Concurrent Adversarial Learning for Large-Batch Training. ICLR 2022
[c157]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/WangSGH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/WangSGH22
Yihan Wang, Zhouxing Shi, Quanquan Gu, Cho-Jui Hsieh:
On the Convergence of Certified Robust Training with Interval Bound Propagation. ICLR 2022
[c156]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/XiongLCWH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/XiongLCWH22
Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh:
Learning to Schedule Learning rate with Graph Neural Networks. ICLR 2022
[c155]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/Zhang0XWJHK22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/Zhang0XWJHK22
Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks. ICML 2022: 26591-26604
[c154]
- view
  authority control:
- export record
  dblp key:
  - conf/icpr/ChoiZKHL22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icpr/ChoiZKHL22
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee:
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks. ICPR 2022: 1287-1293
[c153]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - conf/ijcai/ChengLCDH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ijcai/ChengLCDH22
Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh:
CAT: Customized Adversarial Training for Improved Robustness. IJCAI 2022: 673-679
[c152]
- view
  authority control:
- export record
  dblp key:
  - conf/kdd/YuZCJLH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/YuZCJLH22
Hsiang-Fu Yu, Jiong Zhang, Wei-Cheng Chang, Jyun-Yu Jiang, Wei Li, Cho-Jui Hsieh:
PECOS: Prediction for Enormous and Correlated Output Spaces. KDD 2022: 4848-4849
[c151]
- view
  authority control:
- export record
  dblp key:
  - conf/kdd/ChenHLL22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/ChenHLL22
Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu:
The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022). KDD 2022: 4858-4859
[c150]
- view
  authority control:
- export record
  dblp key:
  - conf/naacl/XiongCHYD22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/naacl/XiongCHYD22
Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon:
Extreme Zero-Shot Learning for Extreme Text Classification. NAACL-HLT 2022: 5455-5468
[c149]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/0002KLLHS22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/0002KLLHS22
Qin Ding, Yue Kang, Yi-Wei Liu, Thomas Chun Man Lee, Cho-Jui Hsieh, James Sharpnack:
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms. NeurIPS 2022
[c148]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/CuiWSH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/CuiWSH22
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh:
DC-BENCH: Dataset Condensation Benchmark. NeurIPS 2022
[c147]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/GuptaCYHD22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/GuptaCYHD22
Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon:
ELIAS: End-to-End Learning to Index and Search in Large Output Spaces. NeurIPS 2022
[c146]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/KangHL22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/KangHL22
Yue Kang, Cho-Jui Hsieh, Thomas Chun Man Lee:
Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems. NeurIPS 2022
[c145]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/Lan0W0WH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/Lan0W0WH22
Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh:
Are AlphaZero-like Agents Robust to Adversarial Perturbations? NeurIPS 2022
[c144]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/LiuMCCHY22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/LiuMCCHY22
Yong Liu, Siqi Mai, Minhao Cheng, Xiangning Chen, Cho-Jui Hsieh, Yang You:
Random Sharpness-Aware Minimization. NeurIPS 2022
[c143]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/ShiW0KH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/ShiW0KH22
Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh:
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation. NeurIPS 2022
[c142]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/WangXCH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/WangXCH22
Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh:
Efficient Non-Parametric Optimizer Search for Diverse Tasks. NeurIPS 2022
[c141]
- view
  - electronic edition @ nips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/ZhangWXLLJHK22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/ZhangWXLLJHK22
Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
General Cutting Planes for Bound-Propagation-Based Neural Network Verification. NeurIPS 2022
[c140]
- view
  authority control:
- export record
  dblp key:
  - conf/sigir/JiangCZHY22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/sigir/JiangCZHY22
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification. SIGIR 2022: 1870-1874
[i148]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2203-02714
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2203-02714
Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You:
Towards Efficient and Scalable Sharpness-Aware Minimization. CoRR abs/2203.02714 (2022)
[i147]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2203-08961
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2203-08961
Yihan Wang, Zhouxing Shi, Quanquan Gu, Cho-Jui Hsieh:
On the Convergence of Certified Robust Training with Interval Bound Propagation. CoRR abs/2203.08961 (2022)
[i146]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2203-15207
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2203-15207
Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng:
Generalizing Few-Shot NAS with Gradient Matching. CoRR abs/2203.15207 (2022)
[i145]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2206-05511
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2206-05511
Cenyuan Zhang, Xiang Zhou, Yixin Wan, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh:
Improving the Adversarial Robustness of NLP Models by Information Bottleneck. CoRR abs/2206.05511 (2022)
[i144]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2206-11408
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2206-11408
Patrick H. Chen, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh:
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. CoRR abs/2206.11408 (2022)
[i143]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2207-09639
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2207-09639
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh:
DC-BENCH: Dataset Condensation Benchmark. CoRR abs/2207.09639 (2022)
[i142]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2207-09653
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2207-09653
Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh:
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning. CoRR abs/2207.09653 (2022)
[i141]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2208-05740
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2208-05740
Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
General Cutting Planes for Bound-Propagation-Based Neural Network Verification. CoRR abs/2208.05740 (2022)
[i140]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2208-14966
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2208-14966
Andrew Bai, Chih-Kuan Yeh, Pradeep Ravikumar, Neil Y. C. Lin, Cho-Jui Hsieh:
Concept Gradient: Concept-based Interpretation Without Linear Assumption. CoRR abs/2208.14966 (2022)
[i139]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2209-13575
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2209-13575
Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh:
Efficient Non-Parametric Optimizer Search for Diverse Tasks. CoRR abs/2209.13575 (2022)
[i138]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2210-07394
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2210-07394
Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh:
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation. CoRR abs/2210.07394 (2022)
[i137]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2210-07543
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2210-07543
Chenxi Gu, Chengsong Huang, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh:
Watermarking Pre-trained Language Models with Backdooring. CoRR abs/2210.07543 (2022)
[i136]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2210-08410
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2210-08410
Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon:
End-to-End Learning to Index and Search in Large Output Spaces. CoRR abs/2210.08410 (2022)
[i135]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2210-10160
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2210-10160
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Uncertainty in Extreme Multi-label Classification. CoRR abs/2210.10160 (2022)
[i134]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2210-12231
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2210-12231
Andrew Bai, Cho-Jui Hsieh, Wendy Chi-wen Kan, Hsuan-Tien Lin:
Reducing Training Sample Memorization in GANs by Training with Memorization Rejection. CoRR abs/2210.12231 (2022)
[i133]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2210-12396
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2210-12396
Fan Yin, Yao Li, Cho-Jui Hsieh, Kai-Wei Chang:
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation. CoRR abs/2210.12396 (2022)
[i132]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2211-00635
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2211-00635
Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar:
Preserving In-Context Learning ability in Large Language Model Fine-tuning. CoRR abs/2211.00635 (2022)
[i131]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2211-02468
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2211-02468
Anaelia Ovalle, Evan Czyzycki, Cho-Jui Hsieh:
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning. CoRR abs/2211.02468 (2022)
[i130]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2211-03769
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2211-03769
Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh:
Are AlphaZero-like Agents Robust to Adversarial Perturbations? CoRR abs/2211.03769 (2022)
[i129]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2211-10586
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2211-10586
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh:
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory. CoRR abs/2211.10586 (2022)
2021
[j22]
- view
  authority control:
- export record
  dblp key:
  - journals/ccfthpc/YouHHVD21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ccfthpc/YouHHVD21
Yang You, Jingyue Huang, Cho-Jui Hsieh, Richard W. Vuduc, James Demmel:
Communication-avoiding kernel ridge regression on parallel and distributed systems. CCF Trans. High Perform. Comput. 3(3): 252-270 (2021)
[c139]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - conf/aaai/LanWWH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aaai/LanWWH21
Li-Cheng Lan, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh:
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search. AAAI 2021: 259-267
[c138]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - conf/aaai/ChengC0CHD21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aaai/ChengC0CHD21
Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das:
Self-Progressing Robust Training. AAAI 2021: 7107-7115
[c137]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - conf/aaai/LiuRL0H21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aaai/LiuRL0H21
Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
Multi-Proxy Wasserstein Classifier for Image Classification. AAAI 2021: 8618-8626
[c136]
- view
  authority control:
- export record
  dblp key:
  - conf/acl/ZhouZHCH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/ZhouZHCH20
Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang:
Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble. ACL/IJCNLP (1) 2021: 5482-5492
[c135]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/aistats/0002HS21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aistats/0002HS21
Qin Ding, Cho-Jui Hsieh, James Sharpnack:
An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling. AISTATS 2021: 1585-1593
[c134]
- view
  authority control:
- export record
  dblp key:
  - conf/cvpr/ChenXTZHG21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/ChenXTZHG21
Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong:
Robust and Accurate Object Detection via Adversarial Learning. CVPR 2021: 16622-16631
[c133]
- view
  authority control:
- export record
  dblp key:
  - conf/emnlp/YuanZZHC21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/emnlp/YuanZZHC21
Liping Yuan, Xiaoqing Zheng, Yi Zhou, Cho-Jui Hsieh, Kai-Wei Chang:
On the Transferability of Adversarial Attacks against Neural Text Classifier. EMNLP (1) 2021: 1612-1625
[c132]
- view
  authority control:
- export record
  dblp key:
  - conf/emnlp/LiXZLZZCH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/emnlp/LiXZLZZCH21
Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. EMNLP (1) 2021: 3137-3147
[c131]
- view
  authority control:
- export record
  dblp key:
  - conf/iccv/RaoLWLH021
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iccv/RaoLWLH021
Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou:
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection. ICCV 2021: 3263-3272
[c130]
- view
  authority control:
- export record
  dblp key:
  - conf/iccv/LiMLYKWH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iccv/LiMLYKWH21
Yao Li, Martin Renqiang Min, Thomas C. M. Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh:
Towards Robustness of Deep Neural Networks via Regularization. ICCV 2021: 7476-7485
[c129]
- view
  authority control:
- export record
  dblp key:
  - conf/iccv/WangCCTH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iccv/WangCCTH21
Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh:
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. ICCV 2021: 10357-10366
[c128]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/ChenWCTH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/ChenWCTH21
Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh:
DrNAS: Dirichlet Neural Architecture Search. ICLR 2021
[c127]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/HsiehYLRKKH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/HsiehYLRKKH21
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Kumar Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh:
Evaluations and Methods for Explanation through Robustness Analysis. ICLR 2021
[c126]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/WangCCTH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/WangCCTH21
Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh:
Rethinking Architecture Selection in Differentiable NAS. ICLR 2021
[c125]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/XuZ0WJLH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/XuZ0WJLH21
Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh:
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers. ICLR 2021
[c124]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/ZhangCBH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/ZhangCBH21
Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh:
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary. ICLR 2021
[c123]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/Chen0HD21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/Chen0HD21
Pei-Hung Chen, Wei Wei, Cho-Jui Hsieh, Bo Dai:
Overcoming Catastrophic Forgetting by Bayesian Generative Regularization. ICML 2021: 1760-1770
[c122]
- view
  authority control:
- export record
  dblp key:
  - conf/kdd/ChenHLL21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/ChenHLL21
Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu:
Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021). KDD 2021: 4112-4113
[c121]
- view
  authority control:
- export record
  dblp key:
  - conf/kdd/DevSDH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/DevSDH21
Sunipa Dev, Mehrnoosh Sameki, Jwala Dhamala, Cho-Jui Hsieh:
Measures and Best Practices for Responsible AI. KDD 2021: 4118
[c120]
- view
  authority control:
- export record
  dblp key:
  - conf/naacl/ZhangZZCH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/naacl/ZhangZZCH21
Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. NAACL-HLT 2021: 3899-3916
[c119]
- view
  - electronic edition @ neurips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/RaoZLLZH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/RaoZLLZH21
Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification. NeurIPS 2021: 13937-13949
[c118]
- view
  - electronic edition @ neurips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/LiuCYHD21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/LiuCYHD21
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon:
Label Disentanglement in Partition-based Extreme Multilabel Classification. NeurIPS 2021: 15359-15369
[c117]
- view
  - electronic edition @ neurips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/LiSLHB21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/LiSLHB21
Yang Li, Si Si, Gang Li, Cho-Jui Hsieh, Samy Bengio:
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding. NeurIPS 2021: 15816-15829
[c116]
- view
  - electronic edition @ neurips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/ShiWZYH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/ShiWZYH21
Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh:
Fast Certified Robust Training with Short Warmup. NeurIPS 2021: 18335-18349
[c115]
- view
  - electronic edition @ neurips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/ChenYDH21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/ChenYDH21
Patrick H. Chen, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh:
DRONE: Data-aware Low-rank Compression for Large NLP Models. NeurIPS 2021: 29321-29334
[c114]
- view
  - electronic edition @ neurips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/WangZXLJHK21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/WangZXLJHK21
Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification. NeurIPS 2021: 29909-29921
[i128]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2101-02483
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2101-02483
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
Robust Text CAPTCHAs Using Adversarial Examples. CoRR abs/2101.02483 (2021)
[i127]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2101-07069
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2101-07069
Seong-Eun Moon, Chun-Jui Chen, Cho-Jui Hsieh, Jane-Ling Wang, Jong-Seok Lee:
Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks. CoRR abs/2101.07069 (2021)
[i126]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2101-08452
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2101-08452
Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh:
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary. CoRR abs/2101.08452 (2021)
[i125]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2102-01963
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2102-01963
Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee:
Local Critic Training for Model-Parallel Learning of Deep Neural Networks. CoRR abs/2102.01963 (2021)
[i124]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2103-06624
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2103-06624
Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification. CoRR abs/2103.06624 (2021)
[i123]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2103-13886
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2103-13886
Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong:
Robust and Accurate Object Detection via Adversarial Learning. CoRR abs/2103.13886 (2021)
[i122]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2103-15670
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2103-15670
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
On the Adversarial Robustness of Visual Transformers. CoRR abs/2103.15670 (2021)
[i121]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2103-17268
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2103-17268
Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh:
Fast Certified Robust Training via Better Initialization and Shorter Warmup. CoRR abs/2103.17268 (2021)
[i120]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2104-05232
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2104-05232
Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. CoRR abs/2104.05232 (2021)
[i119]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2104-08782
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2104-08782
Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang:
On the Faithfulness Measurements for Model Interpretations. CoRR abs/2104.08782 (2021)
[i118]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2104-12727
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2104-12727
Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong:
2.5D Visual Relationship Detection. CoRR abs/2104.12727 (2021)
[i117]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2104-15022
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2104-15022
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee:
Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks. CoRR abs/2104.15022 (2021)
[i116]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2105-08620
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2105-08620
Yao Li, Tongyi Tang, Cho-Jui Hsieh, Thomas C. M. Lee:
Detecting Adversarial Examples with Bayesian Neural Network. CoRR abs/2105.08620 (2021)
[i115]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2105-09394
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2105-09394
Seungyeon Kim, Daniel Glasner, Srikumar Ramalingam, Cho-Jui Hsieh, Kishore Papineni, Sanjiv Kumar:
Balancing Robustness and Sensitivity using Feature Contrastive Learning. CoRR abs/2105.09394 (2021)
[i114]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2106-00221
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2106-00221
Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You:
Concurrent Adversarial Learning for Large-Batch Training. CoRR abs/2106.00221 (2021)
[i113]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2106-01548
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2106-01548
Xiangning Chen, Cho-Jui Hsieh, Boqing Gong:
When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations. CoRR abs/2106.01548 (2021)
[i112]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2106-02034
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2106-02034
Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification. CoRR abs/2106.02034 (2021)
[i111]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2106-02795
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2106-02795
Yang Li, Si Si, Gang Li, Cho-Jui Hsieh, Samy Bengio:
Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding. CoRR abs/2106.02795 (2021)
[i110]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2106-02978
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2106-02978
Qin Ding, Cho-Jui Hsieh, James Sharpnack:
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks. CoRR abs/2106.02978 (2021)
[i109]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2106-02979
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2106-02979
Qin Ding, Yi-Wei Liu, Cho-Jui Hsieh, James Sharpnack:
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms. CoRR abs/2106.02979 (2021)
[i108]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2106-12751
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2106-12751
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon:
Label Disentanglement in Partition-based Extreme Multilabel Classification. CoRR abs/2106.12751 (2021)
[i107]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2108-04392
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2108-04392
Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh:
Rethinking Architecture Selection in Differentiable NAS. CoRR abs/2108.04392 (2021)
[i106]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2108-07794
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2108-07794
Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou:
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection. CoRR abs/2108.07794 (2021)
[i105]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2108-08019
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2108-08019
Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh:
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. CoRR abs/2108.08019 (2021)
[i104]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2108-12777
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2108-12777
Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. CoRR abs/2108.12777 (2021)
[i103]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2109-01983
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2109-01983
Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh:
Training Meta-Surrogate Model for Transferable Adversarial Attack. CoRR abs/2109.01983 (2021)
[i102]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2110-07718
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2110-07718
Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh:
Adversarial Attack across Datasets. CoRR abs/2110.07718 (2021)
[i101]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2110-12072
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2110-12072
Rulin Shao, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
How and When Adversarial Robustness Transfers in Knowledge Distillation? CoRR abs/2110.12072 (2021)
[i100]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2111-00064
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2111-00064
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon:
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. CoRR abs/2111.00064 (2021)
[i99]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2111-01353
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2111-01353
Shanda Li, Xiangning Chen, Di He, Cho-Jui Hsieh:
Can Vision Transformers Perform Convolution? CoRR abs/2111.01353 (2021)
[i98]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2111-09961
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2111-09961
Yao Li, Minhao Cheng, Cho-Jui Hsieh, Thomas C. M. Lee:
A Review of Adversarial Attack and Defense for Classification Methods. CoRR abs/2111.09961 (2021)
[i97]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2112-07921
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2112-07921
Jaehui Hwang, Huan Zhang, Jun-Ho Choi, Cho-Jui Hsieh, Jong-Seok Lee:
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks. CoRR abs/2112.07921 (2021)
[i96]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2112-08652
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2112-08652
Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon:
Extreme Zero-Shot Learning for Extreme Text Classification. CoRR abs/2112.08652 (2021)
2020
[j21]
- view
  - electronic edition @ jmlr.org (open access)
  - no references & citations available
- export record
  dblp key:
  - journals/jmlr/YangCHWJ20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jmlr/YangCHWJ20
Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan:
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data. J. Mach. Learn. Res. 21: 43:1-43:36 (2020)
[j20]
- view
  authority control:
- export record
  dblp key:
  - journals/kais/YouHRWHKD20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/kais/YouHRWHKD20
Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel:
Fast LSTM by dynamic decomposition on cloud and distributed systems. Knowl. Inf. Syst. 62(11): 4169-4197 (2020)
[j19]
- view
  authority control:
- export record
  dblp key:
  - journals/ml/WangZYHJ20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ml/WangZYHJ20
Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang:
Spanning attack: reinforce black-box attacks with unlabeled data. Mach. Learn. 109(12): 2349-2368 (2020)
[j18]
- view
  authority control:
- export record
  dblp key:
  - journals/nn/MoonCHWL20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nn/MoonCHWL20
Seong-Eun Moon, Chun-Jui Chen, Cho-Jui Hsieh, Jane-Ling Wang, Jong-Seok Lee:
Emotional EEG classification using connectivity features and convolutional neural networks. Neural Networks 132: 96-107 (2020)
[c113]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - conf/aaai/ChengYCZH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aaai/ChengYCZH20
Minhao Cheng, Jinfeng Yi, Pin-Yu Chen, Huan Zhang, Cho-Jui Hsieh:
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples. AAAI 2020: 3601-3608
[c112]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - conf/aaai/YangCHWJ20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aaai/YangCHWJ20
Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan:
ML-LOO: Detecting Adversarial Examples with Feature Attribution. AAAI 2020: 6639-6647
[c111]
- view
  authority control:
- export record
  dblp key:
  - conf/accv/Choi0KHL20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/accv/Choi0KHL20
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee:
Adversarially Robust Deep Image Super-Resolution Using Entropy Regularization. ACCV (4) 2020: 301-317
[c110]
- view
  authority control:
- export record
  dblp key:
  - conf/acl/LiYYHC20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/LiYYHC20
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang:
What Does BERT with Vision Look At? ACL 2020: 5265-5275
[c109]
- view
  authority control:
- export record
  dblp key:
  - conf/acl/ZhengZZHCH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/ZhengZZHCH20
Xiaoqing Zheng, Jiehang Zeng, Yi Zhou, Cho-Jui Hsieh, Minhao Cheng, Xuanjing Huang:
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples. ACL 2020: 6600-6610
[c108]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/aistats/WuYRSH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aistats/WuYRSH20
Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh:
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. AISTATS 2020: 776-787
[c107]
- view
  authority control:
- export record
  dblp key:
  - conf/cvpr/LiuXSCKH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/LiuXSCKH20
Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh:
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework. CVPR 2020: 279-287
[c106]
- view
  authority control:
- export record
  dblp key:
  - conf/eccv/XiongH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/eccv/XiongH20
Yuanhao Xiong, Cho-Jui Hsieh:
Improved Adversarial Training via Learned Optimizer. ECCV (8) 2020: 85-100
[c105]
- view
  authority control:
- export record
  dblp key:
  - conf/eccv/LiuRL0H20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/eccv/LiuRL0H20
Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. ECCV (14) 2020: 694-709
[c104]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/ChengSCC0H20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/ChengSCC0H20
Minhao Cheng, Simranjit Singh, Patrick H. Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh:
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack. ICLR 2020
[c103]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/RuanXRKH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/RuanXRKH20
Yangjun Ruan, Yuanhao Xiong, Sashank J. Reddi, Sanjiv Kumar, Cho-Jui Hsieh:
Learning to Learn by Zeroth-Order Oracle. ICLR 2020
[c102]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/ShiZCHH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/ShiZCHH20
Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh:
Robustness Verification for Transformers. ICLR 2020
[c101]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/YouLRHKBSDKH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/YouLRHKBSDKH20
Yang You, Jing Li, Sashank J. Reddi, Jonathan Hseu, Sanjiv Kumar, Srinadh Bhojanapalli, Xiaodan Song, James Demmel, Kurt Keutzer, Cho-Jui Hsieh:
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes. ICLR 2020
[c100]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/ZhaiDHZGRH020
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/ZhaiDHZGRH020
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang:
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. ICLR 2020
[c99]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/ZhangCXGSLBH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/ZhangCXGSLBH20
Huan Zhang, Hongge Chen, Chaowei Xiao, Sven Gowal, Robert Stanforth, Bo Li, Duane S. Boning, Cho-Jui Hsieh:
Towards Stable and Efficient Training of Verifiably Robust Neural Networks. ICLR 2020
[c98]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/ChenH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/ChenH20
Xiangning Chen, Cho-Jui Hsieh:
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization. ICML 2020: 1554-1565
[c97]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/LiuYDH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/LiuYDH20
Xuanqing Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh:
Learning to Encode Position for Transformer with Continuous Dynamical Model. ICML 2020: 6327-6335
[c96]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/WangZCBH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/WangZCBH20
Yihan Wang, Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh:
On Lp-norm Robustness of Ensemble Decision Stumps and Trees. ICML 2020: 10104-10114
[c95]
- view
  - electronic edition @ neurips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/0001CX0LBH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/0001CX0LBH20
Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Mingyan Liu, Duane S. Boning, Cho-Jui Hsieh:
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations. NeurIPS 2020
[c94]
- view
  - electronic edition @ neurips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/ChenS0CKBH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/ChenS0CKBH20
Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane S. Boning, Cho-Jui Hsieh:
Multi-Stage Influence Function. NeurIPS 2020
[c93]
- view
  - electronic edition @ neurips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/OjhaSHL20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/OjhaSHL20
Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee:
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data. NeurIPS 2020
[c92]
- view
  - electronic edition @ neurips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/WangLY0H20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/WangLY0H20
Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh:
Provably Robust Metric Learning. NeurIPS 2020
[c91]
- view
  - electronic edition @ neurips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/XuS0WCHKLH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/XuS0WCHKLH20
Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh:
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond. NeurIPS 2020
[c90]
- view
  - electronic edition @ neurips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/Zhang0H20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/Zhang0H20
Chong Zhang, Huan Zhang, Cho-Jui Hsieh:
An Efficient Adversarial Attack for Tree Ensembles. NeurIPS 2020
[c89]
- view
  authority control:
- export record
  dblp key:
  - conf/recsys/WuLHS20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/recsys/WuLHS20
Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack:
SSE-PT: Sequential Recommendation Via Personalized Transformer. RecSys 2020: 328-337
[c88]
- view
  authority control:
- export record
  dblp key:
  - conf/www/YaoCKLH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/www/YaoCKLH20
Quanming Yao, Xiangning Chen, James T. Kwok, Yong Li, Cho-Jui Hsieh:
Efficient Neural Interaction Function Search for Collaborative Filtering. WWW 2020: 1660-1670
[c87]
- view
  authority control:
- export record
  dblp key:
  - conf/www/JiangCH020
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/www/JiangCH020
Jyun-Yu Jiang, Patrick H. Chen, Cho-Jui Hsieh, Wei Wang:
Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems. WWW 2020: 2177-2187
[i95]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2001-02378
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2001-02378
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang:
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. CoRR abs/2001.02378 (2020)
[i94]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2002-05283
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2002-05283
Xiangning Chen, Cho-Jui Hsieh:
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization. CoRR abs/2002.05283 (2020)
[i93]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2002-05289
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2002-05289
Qin Ding, Cho-Jui Hsieh, James Sharpnack:
Multiscale Non-stationary Stochastic Bandits. CoRR abs/2002.05289 (2020)
[i92]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2002-06622
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2002-06622
Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh:
Robustness Verification for Transformers. CoRR abs/2002.06622 (2020)
[i91]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2002-06789
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2002-06789
Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh:
CAT: Customized Adversarial Training for Improved Robustness. CoRR abs/2002.06789 (2020)
[i90]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2002-12920
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2002-12920
Kaidi Xu, Zhouxing Shi, Huan Zhang, Minlie Huang, Kai-Wei Chang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh:
Automatic Perturbation Analysis on General Computational Graphs. CoRR abs/2002.12920 (2020)
[i89]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2003-08938
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2003-08938
Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh:
Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations. CoRR abs/2003.08938 (2020)
[i88]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2003-09229
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2003-09229
Xuanqing Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh:
Learning to Encode Position for Transformer with Continuous Dynamical Model. CoRR abs/2003.09229 (2020)
[i87]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2004-12227
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2004-12227
Yuanhao Xiong, Cho-Jui Hsieh:
Improved Adversarial Training via Learned Optimizer. CoRR abs/2004.12227 (2020)
[i86]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2005-04871
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2005-04871
Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang:
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data. CoRR abs/2005.04871 (2020)
[i85]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2006-00442
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2006-00442
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh:
Evaluations and Methods for Explanation through Robustness Analysis. CoRR abs/2006.00442 (2020)
[i84]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2006-04012
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2006-04012
Qin Ding, Cho-Jui Hsieh, James Sharpnack:
An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling. CoRR abs/2006.04012 (2020)
[i83]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2006-07024
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2006-07024
Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh:
Provably Robust Metric Learning. CoRR abs/2006.07024 (2020)
[i82]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2006-08517
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2006-08517
Yang You, Yuhui Wang, Huan Zhang, Zhao Zhang, James Demmel, Cho-Jui Hsieh:
The Limit of the Batch Size. CoRR abs/2006.08517 (2020)
[i81]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2006-10355
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2006-10355
Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh:
DrNAS: Dirichlet Neural Architecture Search. CoRR abs/2006.10355 (2020)
[i80]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2006-11627
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2006-11627
Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang:
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble. CoRR abs/2006.11627 (2020)
[i79]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2007-09081
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2007-09081
Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane S. Boning, Cho-Jui Hsieh:
Multi-Stage Influence Function. CoRR abs/2007.09081 (2020)
[i78]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2008-03364
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2008-03364
Jiachen Zhong, Xuanqing Liu, Cho-Jui Hsieh:
Improving the Speed and Quality of GAN by Adversarial Training. CoRR abs/2008.03364 (2020)
[i77]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2008-08755
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2008-08755
Yihan Wang, Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh:
On 𝓁_p-norm Robustness of Ensemble Stumps and Trees. CoRR abs/2008.08755 (2020)
[i76]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2008-12094
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2008-12094
Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. CoRR abs/2008.12094 (2020)
[i75]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2010-09889
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2010-09889
Yuanhao Xiong, Xuanqing Liu, Li-Cheng Lan, Yang You, Si Si, Cho-Jui Hsieh:
How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers. CoRR abs/2010.09889 (2020)
[i74]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2010-11598
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2010-11598
Chong Zhang, Huan Zhang, Cho-Jui Hsieh:
An Efficient Adversarial Attack for Tree Ensembles. CoRR abs/2010.11598 (2020)
[i73]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2011-08558
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2011-08558
Liping Yuan, Xiaoqing Zheng, Yi Zhou, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang:
Generating universal language adversarial examples by understanding and enhancing the transferability across neural models. CoRR abs/2011.08558 (2020)
[i72]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2011-13824
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2011-13824
Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh:
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers. CoRR abs/2011.13824 (2020)
[i71]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2011-14031
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2011-14031
Devvrit, Minhao Cheng, Cho-Jui Hsieh, Inderjit S. Dhillon:
Voting based ensemble improves robustness of defensive models. CoRR abs/2011.14031 (2020)
[i70]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2012-07910
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2012-07910
Li-Cheng Lan, Meng-Yu Tsai, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh:
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search. CoRR abs/2012.07910 (2020)
[i69]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2012-11769
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2012-11769
Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das:
Self-Progressing Robust Training. CoRR abs/2012.11769 (2020)

2010 – 2019

see FAQ

What is the meaning of the colors in the publication lists?

2019
[j17]
- view
  authority control:
- export record
  dblp key:
  - journals/jpdc/FangFYH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jpdc/FangFYH19
Jiarui Fang, Haohuan Fu, Guangwen Yang, Cho-Jui Hsieh:
RedSync: Reducing synchronization bandwidth for distributed deep learning training system. J. Parallel Distributed Comput. 133: 30-39 (2019)
[j16]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/tacl/LiCHC19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tacl/LiCHC19
Liunian Harold Li, Patrick H. Chen, Cho-Jui Hsieh, Kai-Wei Chang:
Efficient Contextual Representation Learning With Continuous Outputs. Trans. Assoc. Comput. Linguistics 7: 611-624 (2019)
[j15]
- view
  authority control:
- export record
  dblp key:
  - journals/tpds/YouZHDK19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tpds/YouZHDK19
Yang You, Zhao Zhang, Cho-Jui Hsieh, James Demmel, Kurt Keutzer:
Fast Deep Neural Network Training on Distributed Systems and Cloud TPUs. IEEE Trans. Parallel Distributed Syst. 30(11): 2449-2462 (2019)
[c86]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - conf/aaai/TuTC0ZYHC19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aaai/TuTC0ZYHC19
Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng:
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks. AAAI 2019: 742-749
[c85]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - conf/aaai/ZhangZH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aaai/ZhangZH19
Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh:
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications. AAAI 2019: 5757-5764
[c84]
- view
  authority control:
- export record
  dblp key:
  - conf/acl/HsiehCJWHH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/HsiehCJWHH19
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh:
On the Robustness of Self-Attentive Models. ACL (1) 2019: 1520-1529
[c83]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/aistats/YuHD19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aistats/YuHD19
Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon:
Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables. AISTATS 2019: 2641-2649
[c82]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/aistats/DingYH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aistats/DingYH19
Qin Ding, Hsiang-Fu Yu, Cho-Jui Hsieh:
A Fast Sampling Algorithm for Maximum Inner Product Search. AISTATS 2019: 3004-3012
[c81]
- view
  authority control:
- export record
  dblp key:
  - conf/cvpr/LiuH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/LiuH19
Xuanqing Liu, Cho-Jui Hsieh:
Rob-GAN: Generator, Discriminator, and Adversarial Attacker. CVPR 2019: 11234-11243
[c80]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - conf/emnlp/MaCH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/emnlp/MaCH19
Yukun Ma, Patrick H. Chen, Cho-Jui Hsieh:
MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model. EMNLP/IJCNLP (1) 2019: 5256-5265
[c79]
- view
  authority control:
- export record
  dblp key:
  - conf/gecco/AlzantotSCZHS19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/gecco/AlzantotSCZHS19
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Huan Zhang, Cho-Jui Hsieh, Mani B. Srivastava:
GenAttack: practical black-box attacks with gradient-free optimization. GECCO 2019: 1111-1119
[c78]
- view
  authority control:
- export record
  dblp key:
  - conf/iccv/ChoiZKHL19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iccv/ChoiZKHL19
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee:
Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks. ICCV 2019: 303-311
[c77]
- view
  authority control:
- export record
  dblp key:
  - conf/icdm/YouHRWHKD19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icdm/YouHRWHKD19
Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel:
Fast LSTM Inference by Dynamic Decomposition on Cloud Systems. ICDM 2019: 748-757
[c76]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/ChenSKLH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/ChenSKLH19
Patrick H. Chen, Si Si, Sanjiv Kumar, Yang Li, Cho-Jui Hsieh:
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks. ICLR (Poster) 2019
[c75]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/ChengLCZYH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/ChengLCZYH19
Minhao Cheng, Thong Le, Pin-Yu Chen, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh:
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach. ICLR (Poster) 2019
[c74]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/LiuLWH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/LiuLWH19
Xuanqing Liu, Yao Li, Chongruo Wu, Cho-Jui Hsieh:
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network. ICLR (Poster) 2019
[c73]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/ZhangCSBDH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/ZhangCSBDH19
Huan Zhang, Hongge Chen, Zhao Song, Duane S. Boning, Inderjit S. Dhillon, Cho-Jui Hsieh:
The Limitations of Adversarial Training and the Blind-Spot Attack. ICLR (Poster) 2019
[c72]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/ChenZBH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/ChenZBH19
Hongge Chen, Huan Zhang, Duane S. Boning, Cho-Jui Hsieh:
Robust Decision Trees Against Adversarial Examples. ICML 2019: 1122-1131
[c71]
- view
  authority control:
- export record
  dblp key:
  - conf/kdd/ChiangLSLBH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/ChiangLSLBH19
Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh:
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. KDD 2019: 257-266
[c70]
- view
  authority control:
- export record
  dblp key:
  - conf/naacl/ChengWH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/naacl/ChengWH19
Minhao Cheng, Wei Wei, Cho-Jui Hsieh:
Evaluating and Enhancing the Robustness of Dialogue Systems: A Case Study on a Negotiation Agent. NAACL-HLT (1) 2019: 3325-3335
[c69]
- view
- export record
  dblp key:
  - conf/nips/WuLHS19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/WuLHS19
Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James L. Sharpnack:
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers. NeurIPS 2019: 24-34
[c68]
- view
- export record
  dblp key:
  - conf/nips/LiuSZ0H19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/LiuSZ0H19
Xuanqing Liu, Si Si, Jerry Zhu, Yang Li, Cho-Jui Hsieh:
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning. NeurIPS 2019: 9777-9787
[c67]
- view
- export record
  dblp key:
  - conf/nips/SalmanY0HZ19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/SalmanY0HZ19
Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang:
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. NeurIPS 2019: 9832-9842
[c66]
- view
- export record
  dblp key:
  - conf/nips/ChenZS0BH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/ChenZS0BH19
Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh:
Robustness Verification of Tree-based Models. NeurIPS 2019: 12317-12328
[c65]
- view
- export record
  dblp key:
  - conf/nips/GaoCLHWL19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/GaoCLHWL19
Ruiqi Gao, Tianle Cai, Haochuan Li, Cho-Jui Hsieh, Liwei Wang, Jason D. Lee:
Convergence of Adversarial Training in Overparametrized Neural Networks. NeurIPS 2019: 13009-13020
[c64]
- view
  authority control:
- export record
  dblp key:
  - conf/sc/YouHYDKH19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/sc/YouHYDKH19
Yang You, Jonathan Hseu, Chris Ying, James Demmel, Kurt Keutzer, Cho-Jui Hsieh:
Large-batch training for LSTM and beyond. SC 2019: 9:1-9:16
[c63]
- view
  authority control:
- export record
  dblp key:
  - conf/sdm/FangCHF19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/sdm/FangCHF19
Huang Fang, Minhao Cheng, Cho-Jui Hsieh, Michael P. Friedlander:
Fast Training for Large-Scale One-versus-All Linear Classifiers using Tree-Structured Initialization. SDM 2019: 280-288
[i68]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1901-04684
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1901-04684
Huan Zhang, Hongge Chen, Zhao Song, Duane S. Boning, Inderjit S. Dhillon, Cho-Jui Hsieh:
The Limitations of Adversarial Training and the Blind-Spot Attack. CoRR abs/1901.04684 (2019)
[i67]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1901-08256
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1901-08256
Yang You, Jonathan Hseu, Chris Ying, James Demmel, Kurt Keutzer, Cho-Jui Hsieh:
Large-Batch Training for LSTM and Beyond. CoRR abs/1901.08256 (2019)
[i66]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1902-08722
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1902-08722
Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang:
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. CoRR abs/1902.08722 (2019)
[i65]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1902-10660
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1902-10660
Hongge Chen, Huan Zhang, Duane S. Boning, Cho-Jui Hsieh:
Robust Decision Trees Against Adversarial Examples. CoRR abs/1902.10660 (2019)
[i64]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1902-11269
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1902-11269
Liunian Harold Li, Patrick H. Chen, Cho-Jui Hsieh, Kai-Wei Chang:
Efficient Contextual Representation Learning Without Softmax Layer. CoRR abs/1902.11269 (2019)
[i63]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1904-00962
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1904-00962
Yang You, Jing Li, Jonathan Hseu, Xiaodan Song, James Demmel, Cho-Jui Hsieh:
Reducing BERT Pre-Training Time from 3 Days to 76 Minutes. CoRR abs/1904.00962 (2019)
[i62]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1904-06097
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1904-06097
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee:
Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks. CoRR abs/1904.06097 (2019)
[i61]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1905-07953
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1905-07953
Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh:
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. CoRR abs/1905.07953 (2019)
[i60]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1905-10630
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1905-10630
Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack:
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers. CoRR abs/1905.10630 (2019)
[i59]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1905-12217
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1905-12217
Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh:
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. CoRR abs/1905.12217 (2019)
[i58]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1906-02355
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1906-02355
Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh:
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise. CoRR abs/1906.02355 (2019)
[i57]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1906-03499
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1906-03499
Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan:
ML-LOO: Detecting Adversarial Examples with Feature Attribution. CoRR abs/1906.03499 (2019)
[i56]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1906-03849
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1906-03849
Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh:
Robustness Verification of Tree-based Models. CoRR abs/1906.03849 (2019)
[i55]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1906-03972
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1906-03972
Lu Wang, Xuanqing Liu, Jinfeng Yi, Zhi-Hua Zhou, Cho-Jui Hsieh:
Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual Perspective. CoRR abs/1906.03972 (2019)
[i54]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1906-06316
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1906-06316
Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh:
Towards Stable and Efficient Training of Verifiably Robust Neural Networks. CoRR abs/1906.06316 (2019)
[i53]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1906-07916
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1906-07916
Ruiqi Gao, Tianle Cai, Haochuan Li, Liwei Wang, Cho-Jui Hsieh, Jason D. Lee:
Convergence of Adversarial Training in Overparametrized Networks. CoRR abs/1906.07916 (2019)
[i52]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1908-03557
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1908-03557
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang:
VisualBERT: A Simple and Performant Baseline for Vision and Language. CoRR abs/1908.03557 (2019)
[i51]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1908-05435
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1908-05435
Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack:
Temporal Collaborative Ranking Via Personalized Transformer. CoRR abs/1908.05435 (2019)
[i50]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1909-04495
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1909-04495
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh:
Natural Adversarial Sentence Generation with Gradient-based Perturbation. CoRR abs/1909.04495 (2019)
[i49]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1909-10773
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1909-10773
Minhao Cheng, Simranjit Singh, Patrick H. Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh:
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack. CoRR abs/1909.10773 (2019)
[i48]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1910-01112
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1910-01112
Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee:
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data. CoRR abs/1910.01112 (2019)
[i47]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1910-09464
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1910-09464
Yangjun Ruan, Yuanhao Xiong, Sashank J. Reddi, Sanjiv Kumar, Cho-Jui Hsieh:
Learning to Learn by Zeroth-Order Oracle. CoRR abs/1910.09464 (2019)
[i46]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1910-14147
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1910-14147
Xuanqing Liu, Si Si, Xiaojin Zhu, Yang Li, Cho-Jui Hsieh:
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning. CoRR abs/1910.14147 (2019)
[i45]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1910-14655
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1910-14655
Huan Zhang, Minhao Cheng, Cho-Jui Hsieh:
Enhancing Certifiable Robustness via a Deep Model Ensemble. CoRR abs/1910.14655 (2019)
[i44]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1911-04429
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1911-04429
Xiaoyun Wang, Xuanqing Liu, Cho-Jui Hsieh:
GraphDefense: Towards Robust Graph Convolutional Networks. CoRR abs/1911.04429 (2019)
[i43]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1912-01238
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1912-01238
Patrick H. Chen, Wei Wei, Cho-Jui Hsieh, Bo Dai:
Overcoming Catastrophic Forgetting by Generative Regularization. CoRR abs/1912.01238 (2019)
2018
[j14]
- view
  - electronic edition @ jmlr.org (open access)
  - no references & citations available
- export record
  dblp key:
  - journals/jmlr/ChiangDH18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jmlr/ChiangDH18
Kai-Yang Chiang, Inderjit S. Dhillon, Cho-Jui Hsieh:
Using Side Information to Reliably Learn Low-Rank Matrices from Missing and Corrupted Observations. J. Mach. Learn. Res. 19: 76:1-76:35 (2018)
[c62]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - conf/aaai/ChenSZYH18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aaai/ChenSZYH18
Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh:
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. AAAI 2018: 10-17
[c61]
- view
  authority control:
- export record
  dblp key:
  - conf/acl/HsiehYCZC18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/HsiehYCZC18
Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh:
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning. ACL (1) 2018: 2587-2597
[c60]
- view
  authority control:
- export record
  dblp key:
  - conf/eccv/LiuCZH18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/eccv/LiuCZH18
Xuanqing Liu, Minhao Cheng, Huan Zhang, Cho-Jui Hsieh:
Towards Robust Neural Networks via Random Self-ensemble. ECCV (7) 2018: 381-397
[c59]
- view
  authority control:
- export record
  dblp key:
  - conf/globalsip/WengZCLHD18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/globalsip/WengZCLHD18
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurélie C. Lozano, Cho-Jui Hsieh, Luca Daniel:
On Extensions of Clever: A Neural Network Robustness Evaluation Algorithm. GlobalSIP 2018: 1159-1163
[c58]
- view
  - electronic edition @ openreview.net (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/iclr/WengZCYSGHD18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/WengZCYSGHD18
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel:
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach. ICLR (Poster) 2018
[c57]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/ChengDH18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/ChengDH18
Minhao Cheng, Ian Davidson, Cho-Jui Hsieh:
Extreme Learning to Rank via Low Rank Assumption. ICML 2018: 950-959
[c56]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/LiuH18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/LiuH18
Xuanqing Liu, Cho-Jui Hsieh:
Fast Variance Reduction Method with Stochastic Batch Size. ICML 2018: 3185-3194
[c55]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/WengZCSHDBD18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/WengZCSHDBD18
Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Luca Daniel, Duane S. Boning, Inderjit S. Dhillon:
Towards Fast Computation of Certified Robustness for ReLU Networks. ICML 2018: 5273-5282
[c54]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/WuHS18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/WuHS18
Liwei Wu, Cho-Jui Hsieh, James Sharpnack:
SQL-Rank: A Listwise Approach to Collaborative Ranking. ICML 2018: 5311-5320
[c53]
- view
  authority control:
- export record
  dblp key:
  - conf/icpp/YouZHDK18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icpp/YouZHDK18
Yang You, Zhao Zhang, Cho-Jui Hsieh, James Demmel, Kurt Keutzer:
ImageNet Training in Minutes. ICPP 2018: 1:1-1:10
[c52]
- view
  authority control:
- export record
  dblp key:
  - conf/ics/YouDHV18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ics/YouDHV18
Yang You, James Demmel, Cho-Jui Hsieh, Richard W. Vuduc:
Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems. ICS 2018: 307-317
[c51]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - conf/ijcai/ChengH18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ijcai/ChengH18
Minhao Cheng, Cho-Jui Hsieh:
Distributed Primal-Dual Optimization for Non-uniformly Distributed Data. IJCAI 2018: 2028-2034
[c50]
- view
  authority control:
- export record
  dblp key:
  - conf/milcom/WangLLHWC18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/milcom/WangLLHWC18
Xiaoyun Wang, Chun-Ming Lai, Yu-Cheng Lin, Cho-Jui Hsieh, Shyhtsun Felix Wu, Hasan Cam:
Multiple Accounts Detection on Facebook Using Semi-Supervised Learning on Graphs. MILCOM 2018: 1-9
[c49]
- view
  authority control:
- export record
  dblp key:
  - conf/naacl/JiangYHC18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/naacl/JiangYHC18
Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang:
Learning Word Embeddings for Low-Resource Languages by PU Learning. NAACL-HLT 2018: 1024-1034
[c48]
- view
- export record
  dblp key:
  - conf/nips/ZhangWCHD18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/ZhangWCHD18
Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel:
Efficient Neural Network Robustness Certification with General Activation Functions. NeurIPS 2018: 4944-4953
[c47]
- view
- export record
  dblp key:
  - conf/nips/LiCFHH18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/LiCFHH18
Yao Li, Minhao Cheng, Kevin Fujii, Fushing Hsieh, Cho-Jui Hsieh:
Learning from Group Comparisons: Exploiting Higher Order Interactions. NeurIPS 2018: 4986-4995
[c46]
- view
- export record
  dblp key:
  - conf/nips/ChenSLCH18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/ChenSLCH18
Patrick H. Chen, Si Si, Yang Li, Ciprian Chelba, Cho-Jui Hsieh:
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking. NeurIPS 2018: 11011-11021
[c45]
- view
  authority control:
- export record
  dblp key:
  - conf/sdm/WangH018
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/sdm/WangH018
Jun Wang, Cho-Jui Hsieh, Daming Shi:
NLRR++: Scalable Subspace Clustering via Non-Convex Block Coordinate Descent. SDM 2018: 28-36
[i42]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1801-09838
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1801-09838
Xiaoyun Wang, Chun-Ming Lai, Yunfeng Hong, Cho-Jui Hsieh, Shyhtsun Felix Wu:
Multiple Accounts Detection on Facebook Using Semi-Supervised Learning on Graphs. CoRR abs/1801.09838 (2018)
[i41]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1801-10578
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1801-10578
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel:
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach. CoRR abs/1801.10578 (2018)
[i40]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1803-00114
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1803-00114
Liwei Wu, Cho-Jui Hsieh, James Sharpnack:
SQL-Rank: A Listwise Approach to Collaborative Ranking. CoRR abs/1803.00114 (2018)
[i39]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1803-01128
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1803-01128
Minhao Cheng, Jinfeng Yi, Huan Zhang, Pin-Yu Chen, Cho-Jui Hsieh:
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples. CoRR abs/1803.01128 (2018)
[i38]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1804-09699
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1804-09699
Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Duane S. Boning, Inderjit S. Dhillon, Luca Daniel:
Towards Fast Computation of Certified Robustness for ReLU Networks. CoRR abs/1804.09699 (2018)
[i37]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1805-00569
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1805-00569
Yang You, James Demmel, Cho-Jui Hsieh, Richard W. Vuduc:
Accurate, Fast and Scalable Kernel Ridge Regression on Parallel and Distributed Systems. CoRR abs/1805.00569 (2018)
[i36]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1805-03366
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1805-03366
Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang:
LearningWord Embeddings for Low-resource Languages by PU Learning. CoRR abs/1805.03366 (2018)
[i35]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1805-11770
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1805-11770
Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng:
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks. CoRR abs/1805.11770 (2018)
[i34]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1805-11811
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1805-11811
Liu Liu, Minhao Cheng, Cho-Jui Hsieh, Dacheng Tao:
Stochastic Zeroth-order Optimization via Variance Reduction method. CoRR abs/1805.11811 (2018)
[i33]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1805-12316
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1805-12316
Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan:
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data. CoRR abs/1805.12316 (2018)
[i32]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1806-06950
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1806-06950
Patrick H. Chen, Si Si, Yang Li, Ciprian Chelba, Cho-Jui Hsieh:
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking. CoRR abs/1806.06950 (2018)
[i31]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1807-04457
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1807-04457
Minhao Cheng, Thong Le, Pin-Yu Chen, Jinfeng Yi, Huan Zhang, Cho-Jui Hsieh:
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach. CoRR abs/1807.04457 (2018)
[i30]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1807-10454
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1807-10454
Xuanqing Liu, Cho-Jui Hsieh:
From Adversarial Training to Generative Adversarial Networks. CoRR abs/1807.10454 (2018)
[i29]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1808-02169
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1808-02169
Xuanqing Liu, Cho-Jui Hsieh:
Fast Variance Reduction Method with Stochastic Batch Size. CoRR abs/1808.02169 (2018)
[i28]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1809-02505
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1809-02505
Liu Liu, Ji Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem. CoRR abs/1809.02505 (2018)
[i27]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1809-09853
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1809-09853
Liu Liu, Xuanqing Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastic Second-order Methods for Non-convex Optimization with Inexact Hessian and Gradient. CoRR abs/1809.09853 (2018)
[i26]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1810-01279
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1810-01279
Xuanqing Liu, Yao Li, Chongruo Wu, Cho-Jui Hsieh:
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network. CoRR abs/1810.01279 (2018)
[i25]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1810-08640
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1810-08640
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurélie C. Lozano, Cho-Jui Hsieh, Luca Daniel:
On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm. CoRR abs/1810.08640 (2018)
[i24]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1810-10751
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1810-10751
Xiaoyun Wang, Joe Eaton, Cho-Jui Hsieh, Shyhtsun Felix Wu:
Attack Graph Convolutional Networks by Adding Fake Nodes. CoRR abs/1810.10751 (2018)
[i23]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1810-11783
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1810-11783
Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh:
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications. CoRR abs/1810.11783 (2018)
[i22]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1810-12406
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1810-12406
Patrick H. Chen, Si Si, Sanjiv Kumar, Yang Li, Cho-Jui Hsieh:
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks. CoRR abs/1810.12406 (2018)
[i21]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1811-00866
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1811-00866
Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel:
Efficient Neural Network Robustness Certification with General Activation Functions. CoRR abs/1811.00866 (2018)
[i20]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1811-01305
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1811-01305
Yuefeng Liang, Cho-Jui Hsieh, Thomas C. M. Lee:
Block-wise Partitioning for Extreme Multi-label Classification. CoRR abs/1811.01305 (2018)
[i19]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1811-07950
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1811-07950
Yao Li, Martin Renqiang Min, Wenchao Yu, Cho-Jui Hsieh, Thomas C. M. Lee, Erik Kruus:
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding. CoRR abs/1811.07950 (2018)
2017
[j13]
- view
  - electronic edition @ jmlr.org (open access)
  - no references & citations available
- export record
  dblp key:
  - journals/jmlr/SiHD17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jmlr/SiHD17
Si Si, Cho-Jui Hsieh, Inderjit S. Dhillon:
Memory Efficient Kernel Approximation. J. Mach. Learn. Res. 18: 20:1-20:32 (2017)
[c44]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/aistats/ChiangHD17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/aistats/ChiangHD17
Kai-Yang Chiang, Cho-Jui Hsieh, Inderjit S. Dhillon:
Rank Aggregation and Prediction with Item Features. AISTATS 2017: 748-756
[c43]
- view
  authority control:
- export record
  dblp key:
  - conf/ccs/ChenZSYH17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ccs/ChenZSYH17
Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh:
ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models. AISec@CCS 2017: 15-26
[c42]
- view
  authority control:
- export record
  dblp key:
  - conf/icdm/FangCH17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icdm/FangCH17
Huang Fang, Minhao Cheng, Cho-Jui Hsieh:
A Hyperplane-Based Algorithm for Semi-Supervised Dimension Reduction. ICDM 2017: 101-110
[c41]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/SiZKMDH17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/SiZKMDH17
Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh:
Gradient Boosted Decision Trees for High Dimensional Sparse Output. ICML 2017: 3182-3190
[c40]
- view
  authority control:
- export record
  dblp key:
  - conf/icmla/FujiiHH17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icmla/FujiiHH17
Kevin Fujii, Fushing Hsieh, Cho-Jui Hsieh:
Computable Expert Knowledge in Computer Games. ICMLA 2017: 749-754
[c39]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - conf/ijcai/FangZSH17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ijcai/FangZSH17
Huang Fang, Zhen Zhang, Yiqun Shao, Cho-Jui Hsieh:
Improved Bounded Matrix Completion for Large-Scale Recommender Systems. IJCAI 2017: 1654-1660
[c38]
- view
  authority control:
- export record
  dblp key:
  - conf/kdd/HsiehSD17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/HsiehSD17
Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon:
Communication-Efficient Distributed Block Minimization for Nonlinear Kernel Machines. KDD 2017: 245-254
[c37]
- view
  authority control:
- export record
  dblp key:
  - conf/kdd/WuHS17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/WuHS17
Liwei Wu, Cho-Jui Hsieh, James Sharpnack:
Large-scale Collaborative Ranking in Near-Linear Time. KDD 2017: 515-524
[c36]
- view
- export record
  dblp key:
  - conf/nips/YiHV0L17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/YiHV0L17
Jinfeng Yi, Cho-Jui Hsieh, Kush R. Varshney, Lijun Zhang, Yao Li:
Scalable Demand-Aware Recommendation. NIPS 2017: 2412-2421
[c35]
- view
- export record
  dblp key:
  - conf/nips/LianZZHZL17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/LianZZHZL17
Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu:
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. NIPS 2017: 5330-5340
[c34]
- view
- export record
  dblp key:
  - conf/nips/YuHLD17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/YuHLD17
Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei, Inderjit S. Dhillon:
A Greedy Approach for Budgeted Maximum Inner Product Search. NIPS 2017: 5453-5462
[i18]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/YiHV0L17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/YiHV0L17
Jinfeng Yi, Cho-Jui Hsieh, Kush R. Varshney, Lijun Zhang, Yao Li:
Positive-Unlabeled Demand-Aware Recommendation. CoRR abs/1702.06347 (2017)
[i17]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/LianZZHZL17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/LianZZHZL17
Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu:
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. CoRR abs/1705.09056 (2017)
[i16]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/ZhangSH17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/ZhangSH17
Huan Zhang, Si Si, Cho-Jui Hsieh:
GPU-acceleration for Large-scale Tree Boosting. CoRR abs/1706.08359 (2017)
[i15]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1708-03999
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1708-03999
Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh:
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models. CoRR abs/1708.03999 (2017)
[i14]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1708-08552
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1708-08552
Xuanqing Liu, Cho-Jui Hsieh, Jason D. Lee, Yuekai Sun:
An inexact subsampled proximal Newton-type method for large-scale machine learning. CoRR abs/1708.08552 (2017)
[i13]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1709-04114
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1709-04114
Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh:
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. CoRR abs/1709.04114 (2017)
[i12]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1709-05011
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1709-05011
Yang You, Zhao Zhang, Cho-Jui Hsieh, James Demmel:
100-epoch ImageNet Training with AlexNet in 24 Minutes. CoRR abs/1709.05011 (2017)
[i11]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1712-00673
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1712-00673
Xuanqing Liu, Minhao Cheng, Huan Zhang, Cho-Jui Hsieh:
Towards Robust Neural Networks via Random Self-ensemble. CoRR abs/1712.00673 (2017)
[i10]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1712-02051
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1712-02051
Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh:
Show-and-Fool: Crafting Adversarial Examples for Neural Image Captioning. CoRR abs/1712.02051 (2017)
2016
[j12]
- view
  authority control:
- export record
  dblp key:
  - journals/computer/YuHYVD16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/computer/YuHYVD16
Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon:
Nomadic Computing for Big Data Analytics. Computer 49(4): 52-60 (2016)
[j11]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/fams/HsiehFH16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/fams/HsiehFH16
Fushing Hsieh, Kevin Fujii, Cho-Jui Hsieh:
Machine Learning Meliorates Computing and Robustness in Discrete Combinatorial Optimization Problems. Frontiers Appl. Math. Stat. 2: 20 (2016)
[c33]
- view
  authority control:
- export record
  dblp key:
  - conf/icdm/ZhangH16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icdm/ZhangH16
Huan Zhang, Cho-Jui Hsieh:
Fixing the Convergence Problems in Parallel Asynchronous Dual Coordinate Descent. ICDM 2016: 619-628
[c32]
- view
  authority control:
- export record
  dblp key:
  - conf/icdm/ZhangHA16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icdm/ZhangHA16
Huan Zhang, Cho-Jui Hsieh, Venkatesh Akella:
HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent. ICDM 2016: 629-638
[c31]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/ChiangHD16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/ChiangHD16
Kai-Yang Chiang, Cho-Jui Hsieh, Inderjit S. Dhillon:
Robust Principal Component Analysis with Side Information. ICML 2016: 2291-2299
[c30]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/SiHD16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/SiHD16
Si Si, Cho-Jui Hsieh, Inderjit S. Dhillon:
Computationally Efficient Nyström Approximation using Fast Transforms. ICML 2016: 2655-2663
[c29]
- view
  authority control:
- export record
  dblp key:
  - conf/kdd/SiCHRD16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/SiCHRD16
Si Si, Kai-Yang Chiang, Cho-Jui Hsieh, Nikhil Rao, Inderjit S. Dhillon:
Goal-Directed Inductive Matrix Completion. KDD 2016: 1165-1174
[c28]
- view
- export record
  dblp key:
  - conf/nips/LianZHHL16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/LianZHHL16
Xiangru Lian, Huan Zhang, Cho-Jui Hsieh, Yijun Huang, Ji Liu:
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order. NIPS 2016: 3054-3062
[c27]
- view
- export record
  dblp key:
  - conf/nips/YouLLYDDH16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/YouLLYDDH16
Yang You, Xiangru Lian, Ji Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, James Demmel, Cho-Jui Hsieh:
Asynchronous Parallel Greedy Coordinate Descent. NIPS 2016: 4682-4690
[i9]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/HsiehSD16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/HsiehSD16
Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon:
Communication-Efficient Parallel Block Minimization for Kernel Machines. CoRR abs/1608.02010 (2016)
[i8]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/YuHLD16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/YuHLD16
Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei, Inderjit S. Dhillon:
A Greedy Approach for Budgeted Maximum Inner Product Search. CoRR abs/1610.03317 (2016)
2015
[c26]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/HsiehYD15
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/HsiehYD15
Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon:
PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent. ICML 2015: 2370-2379
[c25]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/HsiehND15
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/HsiehND15
Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon:
PU Learning for Matrix Completion. ICML 2015: 2445-2453
[c24]
- view
- export record
  dblp key:
  - conf/nips/YenZHRD15
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/YenZHRD15
Ian En-Hsu Yen, Kai Zhong, Cho-Jui Hsieh, Pradeep Ravikumar, Inderjit S. Dhillon:
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent. NIPS 2015: 2368-2376
[c23]
- view
- export record
  dblp key:
  - conf/nips/ChiangHD15
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/ChiangHD15
Kai-Yang Chiang, Cho-Jui Hsieh, Inderjit S. Dhillon:
Matrix Completion with Noisy Side Information. NIPS 2015: 3447-3455
[c22]
- view
  authority control:
- export record
  dblp key:
  - conf/www/YuHYVD15
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/www/YuHYVD15
Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon:
A Scalable Asynchronous Distributed Algorithm for Topic Modeling. WWW 2015: 1340-1350
[i7]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/HsiehYD15
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/HsiehYD15
Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon:
PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent. CoRR abs/1504.01365 (2015)
2014
[j10]
- view
  authority control:
- export record
  dblp key:
  - journals/jmlr/ChiangHNDT14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jmlr/ChiangHNDT14
Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon, Ambuj Tewari:
Prediction and clustering in signed networks: a local to global perspective. J. Mach. Learn. Res. 15(1): 1177-1213 (2014)
[j9]
- view
  authority control:
- export record
  dblp key:
  - journals/jmlr/HsiehSDR14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jmlr/HsiehSDR14
Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar:
QUIC: quadratic approximation for sparse inverse covariance estimation. J. Mach. Learn. Res. 15(1): 2911-2947 (2014)
[j8]
- view
  authority control:
- export record
  dblp key:
  - journals/kais/YuHSD14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/kais/YuHSD14
Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon:
Parallel matrix factorization for recommender systems. Knowl. Inf. Syst. 41(3): 793-819 (2014)
[j7]
- view
  authority control:
- export record
  dblp key:
  - journals/pvldb/YunYHVD14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/pvldb/YunYHVD14
Hyokun Yun, Hsiang-Fu Yu, Cho-Jui Hsieh, S. V. N. Vishwanathan, Inderjit S. Dhillon:
NOMAD: Nonlocking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion. Proc. VLDB Endow. 7(11): 975-986 (2014)
[c21]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/HsiehSD14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/HsiehSD14
Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon:
A Divide-and-Conquer Solver for Kernel Support Vector Machines. ICML 2014: 566-574
[c20]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/HsiehO14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/HsiehO14
Cho-Jui Hsieh, Peder A. Olsen:
Nuclear Norm Minimization via Active Subspace Selection. ICML 2014: 575-583
[c19]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/SiHD14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/SiHD14
Si Si, Cho-Jui Hsieh, Inderjit S. Dhillon:
Memory Efficient Kernel Approximation. ICML 2014: 701-709
[c18]
- view
- export record
  dblp key:
  - conf/nips/YenHRD14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/YenHRD14
Ian En-Hsu Yen, Cho-Jui Hsieh, Pradeep Ravikumar, Inderjit S. Dhillon:
Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings. NIPS 2014: 1008-1016
[c17]
- view
- export record
  dblp key:
  - conf/nips/HsiehDRBO14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/HsiehDRBO14
Cho-Jui Hsieh, Inderjit S. Dhillon, Pradeep Ravikumar, Stephen Becker, Peder A. Olsen:
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models. NIPS 2014: 2006-2014
[c16]
- view
- export record
  dblp key:
  - conf/nips/HsiehSD14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/HsiehSD14
Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon:
Fast Prediction for Large-Scale Kernel Machines. NIPS 2014: 3689-3697
[i6]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/HsiehND14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/HsiehND14
Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon:
PU Learning for Matrix Completion. CoRR abs/1411.6081 (2014)
[i5]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/YuHYVD14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/YuHYVD14
Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon:
A Scalable Asynchronous Distributed Algorithm for Topic Modeling. CoRR abs/1412.4986 (2014)
2013
[c15]
- view
- export record
  dblp key:
  - conf/nips/WangBHRD13
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/WangBHRD13
Huahua Wang, Arindam Banerjee, Cho-Jui Hsieh, Pradeep Ravikumar, Inderjit S. Dhillon:
Large Scale Distributed Sparse Precision Estimation. NIPS 2013: 584-592
[c14]
- view
- export record
  dblp key:
  - conf/nips/HsiehSDRP13
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/HsiehSDRP13
Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar, Russell A. Poldrack:
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables. NIPS 2013: 3165-3173
[c13]
- view
  authority control:
- export record
  dblp key:
  - conf/www/HsiehTAHS13
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/www/HsiehTAHS13
Cho-Jui Hsieh, Mitul Tiwari, Deepak Agarwal, Xinyi (Lisa) Huang, Sam Shah:
Organizational overlap on social networks and its applications. WWW 2013: 571-582
[i4]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1302-5145
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1302-5145
Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan, Ambuj Tewari, Inderjit S. Dhillon:
Prediction and Clustering in Signed Networks: A Local to Global Perspective. CoRR abs/1302.5145 (2013)
[i3]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/HsiehSDR13
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/HsiehSDR13
Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar:
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation. CoRR abs/1306.3212 (2013)
[i2]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/HsiehSD13
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/HsiehSD13
Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon:
A Divide-and-Conquer Solver for Kernel Support Vector Machines. CoRR abs/1311.0914 (2013)
[i1]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/YunYHVD13
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/YunYHVD13
Hyokun Yun, Hsiang-Fu Yu, Cho-Jui Hsieh, S. V. N. Vishwanathan, Inderjit S. Dhillon:
NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion. CoRR abs/1312.0193 (2013)
2012
[j6]
- view
  authority control:
- export record
  dblp key:
  - journals/tkdd/YuHCL12
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tkdd/YuHCL12
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin:
Large Linear Classification When Data Cannot Fit in Memory. ACM Trans. Knowl. Discov. Data 5(4): 23:1-23:23 (2012)
[c12]
- view
  authority control:
- export record
  dblp key:
  - conf/icdm/YuHSD12
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icdm/YuHSD12
Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon:
Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems. ICDM 2012: 765-774
[c11]
- view
  authority control:
- export record
  dblp key:
  - conf/kdd/HsiehCD12
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/HsiehCD12
Cho-Jui Hsieh, Kai-Yang Chiang, Inderjit S. Dhillon:
Low rank modeling of signed networks. KDD 2012: 507-515
[c10]
- view
  - electronic edition @ isca-archive.org (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/mlslp/DhillonHSR12
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/mlslp/DhillonHSR12
Inderjit S. Dhillon, Cho-Jui Hsieh, Mátyás A. Sustik, Pradeep Ravikumar:
Sparse inverse covariance matrix estimation using quadratic approximation. MLSLP 2012
[c9]
- view
- export record
  dblp key:
  - conf/nips/HsiehDRB12
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/HsiehDRB12
Cho-Jui Hsieh, Inderjit S. Dhillon, Pradeep Ravikumar, Arindam Banerjee:
A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation. NIPS 2012: 2339-2347
2011
[c8]
- view
  authority control:
- export record
  dblp key:
  - conf/ijcai/YuHCL11
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ijcai/YuHCL11
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin:
Large Linear Classification When Data Cannot Fit in Memory. IJCAI 2011: 2777-2782
[c7]
- view
  authority control:
- export record
  dblp key:
  - conf/kdd/HsiehD11
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/HsiehD11
Cho-Jui Hsieh, Inderjit S. Dhillon:
Fast coordinate descent methods with variable selection for non-negative matrix factorization. KDD 2011: 1064-1072
[c6]
- view
- export record
  dblp key:
  - conf/nips/HsiehSDR11
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/HsiehSDR11
Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar:
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation. NIPS 2011: 2330-2338
2010
[j5]
- view
  authority control:
- export record
  dblp key:
  - journals/jmlr/HuangHCL10
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jmlr/HuangHCL10
Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin:
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models. J. Mach. Learn. Res. 11: 815-848 (2010)
[j4]
- view
  authority control:
- export record
  dblp key:
  - journals/jmlr/ChangHCRL10
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jmlr/ChangHCRL10
Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard, Chih-Jen Lin:
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM. J. Mach. Learn. Res. 11: 1471-1490 (2010)
[j3]
- view
  authority control:
- export record
  dblp key:
  - journals/jmlr/YuanCHL10
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jmlr/YuanCHL10
Guo-Xun Yuan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin:
A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification. J. Mach. Learn. Res. 11: 3183-3234 (2010)
[c5]
- view
  authority control:
- export record
  dblp key:
  - conf/kdd/YuHCL10
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/YuHCL10
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin:
Large linear classification when data cannot fit in memory. KDD 2010: 833-842

2000 – 2009

see FAQ

What is the meaning of the colors in the publication lists?

2009
[c4]
- view
  - electronic edition @ aclanthology.org (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/acl/HuangHCL09
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/HuangHCL09
Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin:
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy. ACL/IJCNLP (2) 2009: 285-288
[c3]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - journals/jmlr/LoCCCFHKKLLWYLLL09
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jmlr/LoCCCFHKKLLWYLLL09
Hung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien Chiang, Chun-Sung Ferng, Cho-Jui Hsieh, Yi-Kuang Ko, Tsung-Ting Kuo, Hung-Che Lai, Ken-Yi Lin, Chia-Hsuan Wang, Hsiang-Fu Yu, Chih-Jen Lin, Hsuan-Tien Lin, Shou-De Lin:
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. KDD Cup 2009: 57-64
2008
[j2]
- view
  authority control:
- export record
  dblp key:
  - journals/jmlr/ChangHL08
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jmlr/ChangHL08
Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin:
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines. J. Mach. Learn. Res. 9: 1369-1398 (2008)
[j1]
- view
  authority control:
- export record
  dblp key:
  - journals/jmlr/FanCHWL08
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jmlr/FanCHWL08
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin:
LIBLINEAR: A Library for Large Linear Classification. J. Mach. Learn. Res. 9: 1871-1874 (2008)
[c2]
- view
  authority control:
- export record
  dblp key:
  - conf/icml/HsiehCLKS08
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/HsiehCLKS08
Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan:
A dual coordinate descent method for large-scale linear SVM. ICML 2008: 408-415
[c1]
- view
  authority control:
- export record
  dblp key:
  - conf/kdd/KeerthiSCHL08
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/KeerthiSCHL08
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin:
A sequential dual method for large scale multi-class linear svms. KDD 2008: 408-416

Coauthor Index

see FAQ

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.