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Alexander G. Ororbia II
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2020 – today
- 2024
[j13]Viet Dung Nguyen
, Reynold Bailey, Gabriel J. Diaz, Chengyi Ma, Alexander Fix, Alexander Ororbia:
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems. Proc. ACM Comput. Graph. Interact. Tech. 7(2): 25:1-25:17 (2024)- [c48]Devroop Kar, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell, Daniel E. Krutz:
Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution. GECCO Companion 2024: 1924-1933 - [i65]Zimeng Lyu, Alexander Ororbia, Rui Li, Travis Desell:
Minimally Supervised Learning using Topological Projections in Self-Organizing Maps. CoRR abs/2401.06923 (2024) - [i64]Hitesh Vaidya, Travis Desell, Ankur Arjun Mali, Alexander Ororbia:
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps. CoRR abs/2402.12465 (2024) - [i63]Viet Dung Nguyen, Reynold Bailey, Gabriel J. Diaz, Chengyi Ma, Alexander Fix, Alexander Ororbia:
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems. CoRR abs/2403.15947 (2024) - [i62]Alexander Ororbia, Ankur Arjun Mali, Adam Kohan, Beren Millidge, Tommaso Salvatori:
A Review of Neuroscience-Inspired Machine Learning. CoRR abs/2403.18929 (2024) - [i61]Cory Merkel, Alexander Ororbia:
Contrastive Learning in Memristor-based Neuromorphic Systems. CoRR abs/2409.10887 (2024) - [i60]Viet Dung Nguyen, Zhizhuo Yang, Christopher L. Buckley, Alexander Ororbia:
R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models. CoRR abs/2409.14216 (2024) - [i59]Ankur Arjun Mali, Tommaso Salvatori, Alexander Ororbia:
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks. CoRR abs/2410.04708 (2024) - 2023
- [j12]Zimeng Lyu, Alexander Ororbia, Travis Desell:
Online evolutionary neural architecture search for multivariate non-stationary time series forecasting. Appl. Soft Comput. 145: 110522 (2023) - [j11]AbdElRahman ElSaid, Karl Ricanek, Zimeng Lyu, Alexander Ororbia, Travis Desell:
Backpropagation-free 4D continuous ant-based neural topology search. Appl. Soft Comput. 147: 110737 (2023) - [j10]Zhizhuo Yang, Gabriel J. Diaz, Brett R. Fajen, Reynold Bailey, Alexander G. Ororbia II:
A neural active inference model of perceptual-motor learning. Frontiers Comput. Neurosci. 17 (2023) - [j9]Alexander Ororbia:
Spiking neural predictive coding for continually learning from data streams. Neurocomputing 544: 126292 (2023) - [j8]Marcos Zampieri, Tharindu Ranasinghe, Diptanu Sarkar, Alexander Ororbia:
Offensive language identification with multi-task learning. J. Intell. Inf. Syst. 60(3): 613-630 (2023) - [j7]Timothy Zee, Alexander Ororbia, Ankur Arjun Mali, Ifeoma Nwogu:
A Robust Backpropagation-Free Framework for Images. Trans. Mach. Learn. Res. 2023 (2023) - [c47]Alexander G. Ororbia II, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles:
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment. AAAI 2023: 9327-9335 - [c46]Tharindu Cyril Weerasooriya, Alexander Ororbia, Raj Bhensadadia, Ashiqur R. KhudaBukhsh, Christopher Homan:
Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo. ACL (Findings) 2023: 4679-4695 - [c45]Alexander Ororbia, Ankur Arjun Mali:
The Predictive Forward-Forward Algorithm. CogSci 2023 - [c44]Alexander Ororbia, Ankur Arjun Mali:
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images. CogSci 2023 - [c43]Alexander Ororbia, Ankur Arjun Mali:
Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. ICRA 2023: 3015-3021 - [i58]Alexander Ororbia, Ankur Arjun Mali:
The Predictive Forward-Forward Algorithm. CoRR abs/2301.01452 (2023) - [i57]Zimeng Lyu, Alexander Ororbia, Travis Desell:
Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting. CoRR abs/2302.10347 (2023) - [i56]Hong Yang, William Gebhardt, Alexander G. Ororbia II, Travis Desell:
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection. CoRR abs/2303.04115 (2023) - [i55]Alexander Ororbia:
Learning Spiking Neural Systems with the Event-Driven Forward-Forward Process. CoRR abs/2303.18187 (2023) - [i54]AbdElRahman ElSaid, Karl Ricanek, Zeming Lyu, Alexander Ororbia, Travis Desell:
Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search. CoRR abs/2305.06715 (2023) - [i53]Tommaso Salvatori, Ankur Arjun Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia:
Brain-Inspired Computational Intelligence via Predictive Coding. CoRR abs/2308.07870 (2023) - [i52]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine. CoRR abs/2309.14690 (2023) - [i51]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks. CoRR abs/2309.14691 (2023) - [i50]Alexander Ororbia, Mary Alexandria Kelly:
A Neuro-Mimetic Realization of the Common Model of Cognition via Hebbian Learning and Free Energy Minimization. CoRR abs/2310.15177 (2023) - [i49]Alexander G. Ororbia II:
Brain-Inspired Machine Intelligence: A Survey of Neurobiologically-Plausible Credit Assignment. CoRR abs/2312.09257 (2023) - 2022
- [c42]Alexander G. Ororbia II, Ankur Arjun Mali:
Backprop-Free Reinforcement Learning with Active Neural Generative Coding. AAAI 2022: 29-37 - [c41]Hitesh Vaidya, Travis Desell, Alexander G. Ororbia II:
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract). AAAI 2022: 13069-13070 - [c40]Alexander G. Ororbia II, Matthew Alex Kelly:
Maze Learning Using a Hyperdimensional Predictive Processing Cognitive Architecture. AGI 2022: 321-331 - [c39]Alexander Ororbia, Matthew Alex Kelly:
CogNGen: Building the Kernel for a Hyperdimensional Predictive Processing Cognitive Architecture. CogSci 2022 - [c38]Ankur Arjun Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles:
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. DCC 2022: 471 - [c37]Tharindu Cyril Weerasooriya, Alexander Ororbia, Christopher Homan:
Improving Label Quality by Jointly Modeling Items and Annotators. NLPerspectives@LREC 2022: 95-99 - [c36]Camille Mince, Skye Rhomberg, Cecilia O. Alm, Reynold Bailey, Alexander Ororbia:
Multimodal Modeling of Task-Mediated Confusion. NAACL-HLT (Student Research Workshop) 2022: 188-194 - [c35]Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer:
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting. NeurIPS 2022 - [i48]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems. CoRR abs/2201.11782 (2022) - [i47]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. CoRR abs/2201.11795 (2022) - [i46]Alexander Ororbia, Matthew Alex Kelly:
CogNGen: Constructing the Kernel of a Hyperdimensional Predictive Processing Cognitive Architecture. CoRR abs/2204.00619 (2022) - [i45]Timothy Zee, Alexander G. Ororbia II, Ankur Arjun Mali, Ifeoma Nwogu:
A Robust Backpropagation-Free Framework for Images. CoRR abs/2206.01820 (2022) - [i44]Alexander Ororbia, Ankur Arjun Mali:
Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. CoRR abs/2209.09174 (2022) - [i43]Zhizhuo Yang, Gabriel J. Diaz, Brett R. Fajen, Reynold Bailey, Alexander Ororbia:
A Neural Active Inference Model of Perceptual-Motor Learning. CoRR abs/2211.10419 (2022) - [i42]Alexander Ororbia, Ankur Arjun Mali:
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images. CoRR abs/2211.12047 (2022) - 2021
- [c34]Ankur Arjun Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles:
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. AAAI 2021: 5006-5015 - [c33]Nikhil Kaushik, Reynold Bailey, Alexander Ororbia, Cecilia O. Alm:
Eliciting Confusion in Online Conversational Tasks. ACII (Workshops and Demos) 2021: 1-5 - [c32]Ankur Arjun Mali, Alexander G. Ororbia II, Dan Kifer, C. Lee Giles:
An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems. DCC 2021: 356 - [c31]Diptanu Sarkar, Marcos Zampieri, Tharindu Ranasinghe, Alexander G. Ororbia II:
fBERT: A Neural Transformer for Identifying Offensive Content. EMNLP (Findings) 2021: 1792-1798 - [c30]AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell:
Continuous Ant-Based Neural Topology Search. EvoApplications 2021: 291-306 - [c29]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack. ICGI 2021: 130-153 - [c28]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks. ICGI 2021: 154-175 - [c27]Tharindu Ranasinghe, Diptanu Sarkar, Marcos Zampieri, Alexander G. Ororbia II:
WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans. SemEval@ACL/IJCNLP 2021: 833-840 - [i41]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles:
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. CoRR abs/2104.02899 (2021) - [i40]Tharindu Ranasinghe, Diptanu Sarkar, Marcos Zampieri, Alexander G. Ororbia II:
WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans. CoRR abs/2104.04630 (2021) - [i39]Alexander Ororbia, Matthew A. Kelly:
Towards a Predictive Processing Implementation of the Common Model of Cognition. CoRR abs/2105.07308 (2021) - [i38]Tharindu Cyril Weerasooriya, Alexander G. Ororbia II, Christopher M. Homan:
Improving Label Quality by Jointly Modeling Items and Annotators. CoRR abs/2106.10600 (2021) - [i37]Alexander G. Ororbia II:
Continual Competitive Memory: A Neural System for Online Task-Free Lifelong Learning. CoRR abs/2106.13300 (2021) - [i36]Alexander Ororbia, Ankur Arjun Mali:
Backprop-Free Reinforcement Learning with Active Neural Generative Coding. CoRR abs/2107.07046 (2021) - [i35]Diptanu Sarkar, Marcos Zampieri, Tharindu Ranasinghe, Alexander G. Ororbia II:
FBERT: A Neural Transformer for Identifying Offensive Content. CoRR abs/2109.05074 (2021) - [i34]Hitesh Vaidya, Travis Desell, Alexander Ororbia:
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay. CoRR abs/2112.04728 (2021) - 2020
- [j6]Ankur Arjun Mali, Alexander G. Ororbia II, C. Lee Giles:
A Neural State Pushdown Automata. IEEE Trans. Artif. Intell. 1(3): 193-205 (2020) - [j5]Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer:
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4267-4278 (2020) - [c26]Ankur Arjun Mali, Alexander G. Ororbia II, C. Lee Giles:
The Sibling Neural Estimator: Improving Iterative Image Decoding with Gradient Communication. DCC 2020: 23-32 - [c25]Travis Desell, AbdElRahman ElSaid, Alexander G. Ororbia II:
An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution. EvoApplications 2020: 546-561 - [c24]AbdElRahman ElSaid, Joshua Karnas, Zimeng Lyu, Daniel E. Krutz, Alexander G. Ororbia II, Travis Desell:
Neuro-Evolutionary Transfer Learning Through Structural Adaptation. EvoApplications 2020: 610-625 - [c23]AbdElRahman ElSaid, Alexander G. Ororbia II, Travis J. Desell:
Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks. EvoApplications 2020: 626-641 - [c22]AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Daniel E. Krutz, Alexander Ororbia, Travis Desell:
Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. GECCO 2020: 315-323 - [p1]Travis Desell, AbdElRahman ElSaid, Alexander G. Ororbia II:
Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution. Deep Neural Evolution 2020: 253-291 - [i33]Alexander Ororbia, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles:
Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment. CoRR abs/2002.03911 (2020) - [i32]Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, Clyde Lee Giles:
Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack. CoRR abs/2004.07623 (2020) - [i31]AbdElRahman ElSaid, Joshua Karns, Alexander G. Ororbia II, Daniel E. Krutz, Zimeng Lyu, Travis Desell:
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation. CoRR abs/2006.02655 (2020) - [i30]AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia, Travis Desell:
Continuous Ant-Based Neural Topology Search. CoRR abs/2011.10831 (2020) - [i29]Alexander Ororbia, Daniel Kifer:
The Neural Coding Framework for Learning Generative Models. CoRR abs/2012.03405 (2020)
2010 – 2019
- 2019
- [c21]Alexander G. Ororbia II, Ankur Arjun Mali:
Biologically Motivated Algorithms for Propagating Local Target Representations. AAAI 2019: 4651-4658 - [c20]Alexander Ororbia, Ankur Arjun Mali, Matthew A. Kelly, David Reitter:
Like a Baby: Visually Situated Neural Language Acquisition. ACL (1) 2019: 5127-5136 - [c19]Anand Gopalakrishnan, Ankur Arjun Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II:
A Neural Temporal Model for Human Motion Prediction. CVPR 2019: 12116-12125 - [c18]Alexander G. Ororbia II, Ankur Arjun Mali, Jian Wu, Scott O'Connell, William Dreese, David J. Miller, C. Lee Giles:
Learned Neural Iterative Decoding for Lossy Image Compression Systems. DCC 2019: 3-12 - [c17]Alexander Ororbia, AbdElRahman ElSaid, Travis Desell:
Investigating recurrent neural network memory structures using neuro-evolution. GECCO 2019: 446-455 - [i28]Alexander Ororbia, Ahmed Ahmed Elsaid, Travis Desell:
Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution. CoRR abs/1902.02390 (2019) - [i27]Michael J. Mior, Alexander G. Ororbia II:
Column2Vec: Structural Understanding via Distributed Representations of Database Schemas. CoRR abs/1903.08621 (2019) - [i26]Alexander Ororbia, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles:
Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively. CoRR abs/1905.10696 (2019) - [i25]Sujit Pramod Khanna, Alexander G. Ororbia II:
A Hybrid Algorithm for Metaheuristic Optimization. CoRR abs/1906.02010 (2019) - [i24]Alexander Ororbia:
Spiking Neural Predictive Coding for Continual Learning from Data Streams. CoRR abs/1908.08655 (2019) - [i23]Ankur Arjun Mali, Alexander Ororbia, C. Lee Giles:
The Neural State Pushdown Automata. CoRR abs/1909.05233 (2019) - [i22]Travis J. Desell, AbdElRahman ElSaid, Alexander Ororbia:
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution. CoRR abs/1909.09502 (2019) - [i21]AbdElRahman ElSaid, Alexander G. Ororbia II, Travis J. Desell:
The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks. CoRR abs/1909.11849 (2019) - [i20]Ankur Arjun Mali, Alexander G. Ororbia II, Clyde Lee Giles:
Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication. CoRR abs/1911.08478 (2019) - 2018
- [j4]Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles:
An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks. Neural Comput. 30(9) (2018) - [c16]Shikun Liu, C. Lee Giles, Alexander Ororbia:
Learning a Hierarchical Latent-Variable Model of 3D Shapes. 3DV 2018: 542-551 - [c15]Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing:
Defending Against Adversarial Samples Without Security through Obscurity. ICDM 2018: 137-146 - [i19]Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles:
A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity. CoRR abs/1801.05420 (2018) - [i18]Alexander G. Ororbia II, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles:
Conducting Credit Assignment by Aligning Local Representations. CoRR abs/1803.01834 (2018) - [i17]Alexander G. Ororbia II, Ankur Arjun Mali, Jian Wu, Scott O'Connell, David J. Miller, C. Lee Giles:
Learned Iterative Decoding for Lossy Image Compression Systems. CoRR abs/1803.05863 (2018) - [i16]Alexander G. Ororbia II, Ankur Arjun Mali, Matthew A. Kelly, David Reitter:
Visually Grounded, Situated Learning in Neural Models. CoRR abs/1805.11546 (2018) - [i15]Alexander G. Ororbia II, Ankur Arjun Mali:
Biologically Motivated Algorithms for Propagating Local Target Representations. CoRR abs/1805.11703 (2018) - [i14]Anand Gopalakrishnan, Ankur Arjun Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II:
A Neural Temporal Model for Human Motion Prediction. CoRR abs/1809.03036 (2018) - [i13]Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer:
Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations. CoRR abs/1810.07411 (2018) - 2017
- [j3]Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles:
Unifying Adversarial Training Algorithms with Data Gradient Regularization. Neural Comput. 29(4): 867-887 (2017) - [j2]Alexander G. Ororbia II, Tomás Mikolov, David Reitter:
Learning Simpler Language Models with the Differential State Framework. Neural Comput. 29(12) (2017) - [c14]Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles:
Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild. CVPR 2017: 474-483 - [c13]Iulian Vlad Serban, Alexander Ororbia, Joelle Pineau, Aaron C. Courville:
Piecewise Latent Variables for Neural Variational Text Processing. SPNLP@EMNLP 2017: 52-62 - [c12]Iulian Vlad Serban, Alexander G. Ororbia II, Joelle Pineau, Aaron C. Courville:
Piecewise Latent Variables for Neural Variational Text Processing. EMNLP 2017: 422-432 - [c11]Bill McDowell, Nathanael Chambers, Alexander G. Ororbia II, David Reitter:
Event Ordering with a Generalized Model for Sieve Prediction Ranking. IJCNLP(1) 2017: 843-853 - [c10]Xiao Yang, Dafang He, Wenyi Huang, Alexander Ororbia, Zihan Zhou, Daniel Kifer, C. Lee Giles:
Smart Library: Identifying Books on Library Shelves Using Supervised Deep Learning for Scene Text Reading. JCDL 2017: 245-248 - [c9]Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles:
Adversary Resistant Deep Neural Networks with an Application to Malware Detection. KDD 2017: 1145-1153 - [i12]Alexander G. Ororbia II, Tomás Mikolov, David Reitter:
Learning Simpler Language Models with the Delta Recurrent Neural Network Framework. CoRR abs/1703.08864 (2017) - [i11]Shikun Liu, Alexander G. Ororbia II, C. Lee Giles:
Learning a Hierarchical Latent-Variable Model of Voxelized 3D Shapes. CoRR abs/1705.05994 (2017) - [i10]Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles:
An Empirical Evaluation of Recurrent Neural Network Rule Extraction. CoRR abs/1709.10380 (2017) - [i9]Alexander G. Ororbia II, Patrick Haffner, David Reitter, C. Lee Giles:
Learning to Adapt by Minimizing Discrepancy. CoRR abs/1711.11542 (2017) - 2016
- [c8]Shuting Wang, Alexander Ororbia, Zhaohui Wu, Kyle Williams, Chen Liang, Bart Pursel, C. Lee Giles:
Using Prerequisites to Extract Concept Maps fromTextbooks. CIKM 2016: 317-326 - [i8]Alexander G. Ororbia II, C. Lee Giles, Daniel Kifer:
Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization. CoRR abs/1601.07213 (2016) - [i7]Alexander G. Ororbia II, Fridolin Linder, Joshua Snoke:
Privacy Protection for Natural Language: Neural Generative Models for Synthetic Text Data. CoRR abs/1606.01151 (2016) - [i6]Qinglong Wang, Wenbo Guo, Alexander G. Ororbia II, Xinyu Xing, Lin Lin, C. Lee Giles, Xue Liu, Peng Liu, Gang Xiong:
Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks. CoRR abs/1610.01934 (2016) - [i5]Xiao Yang, Dafang He, Wenyi Huang, Zihan Zhou, Alexander Ororbia, Dan Kifer, C. Lee Giles:
Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading. CoRR abs/1611.07385 (2016) - [i4]Iulian Vlad Serban, Alexander G. Ororbia II, Joelle Pineau, Aaron C. Courville:
Multi-modal Variational Encoder-Decoders. CoRR abs/1612.00377 (2016) - [i3]Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, C. Lee Giles, Xue Liu:
Learning Adversary-Resistant Deep Neural Networks. CoRR abs/1612.01401 (2016) - 2015
- [j1]Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Suppawong Tuarob, Alexander Ororbia, Douglas Jordan, Prasenjit Mitra, C. Lee Giles:
CiteSeerX: AI in a Digital Library Search Engine. AI Mag. 36(3): 35-48 (2015) - [c7]Alexander G. Ororbia II, C. Lee Giles, David Reitter:
Learning a Deep Hybrid Model for Semi-Supervised Text Classification. EMNLP 2015: 471-481 - [c6]Alexander G. Ororbia II, David Reitter, Jian Wu, C. Lee Giles:
Online Learning of Deep Hybrid Architectures for Semi-supervised Categorization. ECML/PKDD (1) 2015: 516-532 - [c5]Alexander G. Ororbia II, Yang Xu, Vito D'Orazio, David Reitter:
Error-Correction and Aggregation in Crowd-Sourcing of Geopolitical Incident Information. SBP 2015: 381-387 - [c4]Alexander G. Ororbia II, Jian Wu, Madian Khabsa, Kyle Williams, Clyde Lee Giles:
Big Scholarly Data in CiteSeerX: Information Extraction from the Web. WWW (Companion Volume) 2015: 597-602 - [i2]Hung-Hsuan Chen, Alexander G. Ororbia II, C. Lee Giles:
ExpertSeer: a Keyphrase Based Expert Recommender for Digital Libraries. CoRR abs/1511.02058 (2015) - [i1]Alexander G. Ororbia II, C. Lee Giles, David Reitter:
Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders. CoRR abs/1511.06964 (2015) - 2014
- [c3]Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Alexander Ororbia, Douglas Jordan, C. Lee Giles:
CiteSeerX: AI in a Digital Library Search Engine. AAAI 2014: 2930-2937 - [c2]Jian Wu, Alexander Ororbia, Kyle Williams, Madian Khabsa, Zhaohui Wu, C. Lee Giles:
Utility-Based Control Feedback in a Digital Library Search Engine: Cases in CiteSeerX. Feedback Computing 2014 - [c1]Zhaohui Wu, Jian Wu, Madian Khabsa, Kyle Williams, Hung-Hsuan Chen, Wenyi Huang, Suppawong Tuarob, Sagnik Ray Choudhury, Alexander Ororbia, Prasenjit Mitra, C. Lee Giles:
Towards building a scholarly big data platform: Challenges, lessons and opportunities. JCDL 2014: 117-126
Coauthor Index
Travis J. Desell
aka: Travis Desell
aka: Travis Desell
Abdelrahman Elsaid
aka: AbdElRahman ElSaid
aka: AbdElRahman ElSaid
C. Lee Giles
aka: Clyde Lee Giles
aka: Clyde Lee Giles
Daniel Kifer
aka: Dan Kifer
aka: Dan Kifer
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last updated on 2024-11-14 00:49 CET by the dblp team
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