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2020 – today
- 2024
[c11]Raphael Schumann, Elman Mansimov, Yi-An Lai, Nikolaos Pappas, Xibin Gao, Yi Zhang:
Backward Compatibility During Data Updates by Weight Interpolation. EACL (1) 2024: 2846-2861- 2023
- [c10]Yi-An Lai, Elman Mansimov, Yuqing Xie, Yi Zhang:
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion. EACL (Findings) 2023: 980-992 - [i8]Raphael Schumann, Elman Mansimov, Yi-An Lai, Nikolaos Pappas, Xibin Gao, Yi Zhang:
Backward Compatibility During Data Updates by Weight Interpolation. CoRR abs/2301.10546 (2023) - [i7]Yi-An Lai, Elman Mansimov, Yuqing Xie, Yi Zhang:
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion. CoRR abs/2302.02080 (2023) - 2022
- [c9]Yixuan Su, Lei Shu, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai, Yi Zhang:
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System. ACL (1) 2022: 4661-4676 - [c8]Deng Cai, Elman Mansimov, Yi-An Lai, Yixuan Su, Lei Shu, Yi Zhang:
Measuring and Reducing Model Update Regression in Structured Prediction for NLP. NeurIPS 2022 - [i6]Deng Cai, Elman Mansimov, Yi-An Lai, Yixuan Su, Lei Shu, Yi Zhang:
Measuring and Reducing Model Update Regression in Structured Prediction for NLP. CoRR abs/2202.02976 (2022) - 2021
- [c7]Yuqing Xie
, Yi-An Lai, Yuanjun Xiong, Yi Zhang, Stefano Soatto:
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates. ACL/IJCNLP (1) 2021: 6589-6602 - [i5]Yuqing Xie, Yi-An Lai, Yuanjun Xiong, Yi Zhang, Stefano Soatto:
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates. CoRR abs/2105.03048 (2021) - [i4]Yixuan Su, Lei Shu, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai, Yi Zhang:
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System. CoRR abs/2109.14739 (2021) - 2020
- [c6]Yi-An Lai, Garima Lalwani, Yi Zhang:
Context Analysis for Pre-trained Masked Language Models. EMNLP (Findings) 2020: 3789-3804 - [c5]Yi-An Lai, Xuan Zhu, Yi Zhang, Mona T. Diab:
Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections. LREC 2020: 1739-1746 - [i3]Yi-An Lai, Xuan Zhu, Yi Zhang, Mona T. Diab:
Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections. CoRR abs/2003.08529 (2020)
2010 – 2019
- 2019
- [j2]Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, Shou-De Lin:
DeepRank: improving unsupervised node ranking via link discovery. Data Min. Knowl. Discov. 33(2): 474-498 (2019) - [j1]Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin:
Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification. Frontiers Big Data 2: 49 (2019) - [c4]Yi-An Lai, Arshit Gupta, Yi Zhang:
Goal-Embedded Dual Hierarchical Model for Task-Oriented Dialogue Generation. CoNLL 2019: 798-811 - [i2]Yi-An Lai, Arshit Gupta, Yi Zhang:
Goal-Embedded Dual Hierarchical Model for Task-Oriented Dialogue Generation. CoRR abs/1909.09220 (2019) - 2018
- [i1]Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin:
Attribute-aware Collaborative Filtering: Survey and Classification. CoRR abs/1810.08765 (2018) - 2017
- [c3]Yi-An Lai, Chin-Chi Hsu, Wen-Hao Chen, Mi-Yen Yeh, Shou-De Lin:
PRUNE: Preserving Proximity and Global Ranking for Network Embedding. NIPS 2017: 5257-5266 - [c2]Chin-Chi Hsu, Yi-An Lai, Wen-Hao Chen, Ming-Han Feng, Shou-De Lin:
Unsupervised Ranking using Graph Structures and Node Attributes. WSDM 2017: 771-779 - 2012
- [c1]Yi-An Lai, Yi-Zong Ou, Jan Su, Sheng-Han Tsai, Cheng-Wei Yu, Derrick Cheng:
Virtual disaster management information repository and applications based on linked open data. SOCA 2012: 1-5
Coauthor Index
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last updated on 2024-07-09 21:13 CEST by the dblp team
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