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ORCIDRuslan Salakhutdinov
Russ R. Salakhutdinov
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- affiliation: Carnegie Mellon University, Machine Learning Department, Pittsburgh, PA, USA
- affiliation: University of Toronto, Departments of Statistics and Computer Science, ON, Canada
- affiliation: Massachusetts Institute of Technology, Artificial Intelligence Lab, Cambridge, MA, USA
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2020 – today
- 2021
[i149]Peter Wu, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency:
Understanding the Tradeoffs in Client-Side Privacy for Speech Recognition. CoRR abs/2101.08919 (2021)- [i148]William H. Guss, Mario Ynocente Castro, Sam Devlin, Brandon Houghton, Noboru Sean Kuno, Crissman Loomis, Stephanie Milani, Sharada P. Mohanty, Keisuke Nakata, Ruslan Salakhutdinov, John Schulman, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Oriol Vinyals:
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors. CoRR abs/2101.11071 (2021) - [i147]Haitian Sun, Pat Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen:
Reasoning Over Virtual Knowledge Bases With Open Predicate Relations. CoRR abs/2102.07043 (2021) - [i146]Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Sivaraman Balakrishnan, Zachary C. Lipton, Ruslan Salakhutdinov, Pradeep Ravikumar:
On Proximal Policy Optimization's Heavy-tailed Gradients. CoRR abs/2102.10264 (2021) - 2020
- [c161]Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabás Póczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye:
Politeness Transfer: A Tag and Generate Approach. ACL 2020: 1869-1881 - [c160]Shrimai Prabhumoye, Ruslan Salakhutdinov, Alan W. Black:
Topological Sort for Sentence Ordering. ACL 2020: 2783-2792 - [c159]Paul Pu Liang, Irene Mengze Li, Emily Zheng, Yao Chong Lim, Ruslan Salakhutdinov, Louis-Philippe Morency:
Towards Debiasing Sentence Representations. ACL 2020: 5502-5515 - [c158]Paul Pu Liang, Jeffrey Chen, Ruslan Salakhutdinov, Louis-Philippe Morency, Satwik Kottur:
On Emergent Communication in Competitive Multi-Agent Teams. AAMAS 2020: 735-743 - [c157]Shrimai Prabhumoye, Alan W. Black, Ruslan Salakhutdinov:
Exploring Controllable Text Generation Techniques. COLING 2020: 1-14 - [c156]Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta:
Neural Topological SLAM for Visual Navigation. CVPR 2020: 12872-12881 - [c155]Yao-Hung Hubert Tsai, Martin Ma, Muqiao Yang, Ruslan Salakhutdinov, Louis-Philippe Morency:
Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis. EMNLP (1) 2020: 1823-1833 - [c154]Muqiao Yang, Martin Q. Ma, Dongyu Li, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov:
Complex Transformer: A Framework for Modeling Complex-Valued Sequence. ICASSP 2020: 4232-4236 - [c153]Sanjeev Arora, Simon S. Du, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang, Dingli Yu:
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks. ICLR 2020 - [c152]Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, Ruslan Salakhutdinov:
Learning To Explore Using Active Neural SLAM. ICLR 2020 - [c151]Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen:
Differentiable Reasoning over a Virtual Knowledge Base. ICLR 2020 - [c150]Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov:
Capsules with Inverted Dot-Product Attention Routing. ICLR 2020 - [c149]Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra:
Embodied Multimodal Multitask Learning. IJCAI 2020: 2442-2448 - [c148]Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta, Russ R. Salakhutdinov:
Object Goal Navigation using Goal-Oriented Semantic Exploration. NeurIPS 2020 - [c147]Ben Eysenbach, Xinyang Geng, Sergey Levine, Russ R. Salakhutdinov:
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement. NeurIPS 2020 - [c146]Lisa Lee, Ben Eysenbach, Russ R. Salakhutdinov, Shixiang Shane Gu, Chelsea Finn:
Weakly-Supervised Reinforcement Learning for Controllable Behavior. NeurIPS 2020 - [c145]Yao-Hung Hubert Tsai, Han Zhao, Makoto Yamada, Louis-Philippe Morency, Russ R. Salakhutdinov:
Neural Methods for Point-wise Dependency Estimation. NeurIPS 2020 - [c144]Ruosong Wang, Simon S. Du, Lin F. Yang, Russ R. Salakhutdinov:
On Reward-Free Reinforcement Learning with Linear Function Approximation. NeurIPS 2020 - [c143]Ruosong Wang, Russ R. Salakhutdinov, Lin F. Yang:
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension. NeurIPS 2020 - [c142]Ruosong Wang, Peilin Zhong, Simon S. Du, Russ R. Salakhutdinov, Lin F. Yang:
Planning with General Objective Functions: Going Beyond Total Rewards. NeurIPS 2020 - [c141]Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang, Russ R. Salakhutdinov, Kamalika Chaudhuri:
A Closer Look at Accuracy vs. Robustness. NeurIPS 2020 - [i145]Paul Pu Liang, Terrance Liu, Ziyin Liu, Ruslan Salakhutdinov, Louis-Philippe Morency:
Think Locally, Act Globally: Federated Learning with Local and Global Representations. CoRR abs/2001.01523 (2020) - [i144]Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov:
Capsules with Inverted Dot-Product Attention Routing. CoRR abs/2002.04764 (2020) - [i143]Ziyin Liu, Blair Chen, Ru Wang, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency, Masahito Ueda:
Learning Not to Learn in the Presence of Noisy Labels. CoRR abs/2002.06541 (2020) - [i142]Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen:
Differentiable Reasoning over a Virtual Knowledge Base. CoRR abs/2002.10640 (2020) - [i141]Benjamin Eysenbach, Xinyang Geng, Sergey Levine, Ruslan Salakhutdinov:
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement. CoRR abs/2002.11089 (2020) - [i140]Paul Pu Liang, Jeffrey Chen, Ruslan Salakhutdinov, Louis-Philippe Morency, Satwik Kottur:
On Emergent Communication in Competitive Multi-Agent Teams. CoRR abs/2003.01848 (2020) - [i139]Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang, Ruslan Salakhutdinov, Kamalika Chaudhuri:
Adversarial Robustness Through Local Lipschitzness. CoRR abs/2003.02460 (2020) - [i138]Lisa Lee
, Benjamin Eysenbach, Ruslan Salakhutdinov, Shixiang Gu, Chelsea Finn:
Weakly-Supervised Reinforcement Learning for Controllable Behavior. CoRR abs/2004.02860 (2020) - [i137]Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, Ruslan Salakhutdinov:
Learning to Explore using Active Neural SLAM. CoRR abs/2004.05155 (2020) - [i136]Yao-Hung Hubert Tsai, Martin Q. Ma, Muqiao Yang, Ruslan Salakhutdinov, Louis-Philippe Morency:
Interpretable Multimodal Routing for Human Multimodal Language. CoRR abs/2004.14198 (2020) - [i135]Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabás Póczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye:
Politeness Transfer: A Tag and Generate Approach. CoRR abs/2004.14257 (2020) - [i134]Shrimai Prabhumoye, Ruslan Salakhutdinov, Alan W. Black:
Topological Sort for Sentence Ordering. CoRR abs/2005.00432 (2020) - [i133]Shrimai Prabhumoye, Alan W. Black, Ruslan Salakhutdinov:
Exploring Controllable Text Generation Techniques. CoRR abs/2005.01822 (2020) - [i132]Brandon Houghton, Stephanie Milani, Nicholay Topin, William H. Guss, Katja Hofmann, Diego Perez Liebana, Manuela Veloso, Ruslan Salakhutdinov:
Guaranteeing Reproducibility in Deep Learning Competitions. CoRR abs/2005.06041 (2020) - [i131]Ruosong Wang, Ruslan Salakhutdinov, Lin F. Yang:
Provably Efficient Reinforcement Learning with General Value Function Approximation. CoRR abs/2005.10804 (2020) - [i130]Mathis Petrovich, Chao Liang, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada:
Feature Robust Optimal Transport for High-dimensional Data. CoRR abs/2005.12123 (2020) - [i129]Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta:
Neural Topological SLAM for Visual Navigation. CoRR abs/2005.12256 (2020) - [i128]Yao-Hung Hubert Tsai, Han Zhao, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov:
Neural Methods for Point-wise Dependency Estimation. CoRR abs/2006.05553 (2020) - [i127]Yao-Hung Hubert Tsai, Yue Wu, Ruslan Salakhutdinov, Louis-Philippe Morency:
Demystifying Self-Supervised Learning: An Information-Theoretical Framework. CoRR abs/2006.05576 (2020) - [i126]Ruosong Wang, Simon S. Du, Lin F. Yang, Ruslan Salakhutdinov:
On Reward-Free Reinforcement Learning with Linear Function Approximation. CoRR abs/2006.11274 (2020) - [i125]Benjamin Eysenbach, Swapnil Asawa, Shreyas Chaudhari, Ruslan Salakhutdinov, Sergey Levine:
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers. CoRR abs/2006.13916 (2020) - [i124]Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta, Ruslan Salakhutdinov:
Object Goal Navigation using Goal-Oriented Semantic Exploration. CoRR abs/2007.00643 (2020) - [i123]Paul Pu Liang, Irene Mengze Li, Emily Zheng, Yao Chong Lim, Ruslan Salakhutdinov, Louis-Philippe Morency:
Towards Debiasing Sentence Representations. CoRR abs/2007.08100 (2020) - [i122]Vivek Roy, Yan Xu, Yu-Xiong Wang, Kris Kitani, Ruslan Salakhutdinov, Martial Hebert:
Few-Shot Learning with Intra-Class Knowledge Transfer. CoRR abs/2008.09892 (2020) - [i121]Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov:
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function. CoRR abs/2009.04007 (2020) - [i120]Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi S. Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov:
Graph Adversarial Networks: Protecting Information against Adversarial Attacks. CoRR abs/2009.13504 (2020) - [i119]Shrimai Prabhumoye, Brendon Boldt, Ruslan Salakhutdinov, Alan W. Black:
Case Study: Deontological Ethics in NLP. CoRR abs/2010.04658 (2020) - [i118]Ruosong Wang, Hanrui Zhang, Devendra Singh Chaplot, Denis Garagic, Ruslan Salakhutdinov:
Planning with Submodular Objective Functions. CoRR abs/2010.11863 (2020) - [i117]Shangda Li, Devendra Singh Chaplot, Yao-Hung Hubert Tsai, Yue Wu, Louis-Philippe Morency, Ruslan Salakhutdinov:
Unsupervised Domain Adaptation for Visual Navigation. CoRR abs/2010.14543 (2020) - [i116]Yao-Yuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri:
Close Category Generalization. CoRR abs/2011.08485 (2020) - [i115]Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine:
C-Learning: Learning to Achieve Goals via Recursive Classification. CoRR abs/2011.08909 (2020) - [i114]Paul Pu Liang, Peter Wu, Ziyin Liu, Louis-Philippe Morency, Ruslan Salakhutdinov:
Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment. CoRR abs/2012.02813 (2020)
2010 – 2019
- 2019
- [j9]Andrew Pavlo, Matthew Butrovich, Ananya Joshi, Lin Ma, Prashanth Menon, Dana Van Aken, Lisa Lee, Ruslan Salakhutdinov:
External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems. IEEE Data Eng. Bull. 42(2): 32-46 (2019) - [c140]Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov:
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function. AAAI 2019: 6940-6948 - [c139]Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency:
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization. ACL (1) 2019: 1569-1576 - [c138]Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc Viet Le, Ruslan Salakhutdinov:
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. ACL (1) 2019: 2978-2988 - [c137]Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov:
Multimodal Transformer for Unaligned Multimodal Language Sequences. ACL (1) 2019: 6558-6569 - [c136]Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov:
Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex. AISTATS 2019: 1099-1109 - [c135]Yichuan Charlie Tang, Jian Zhang, Ruslan Salakhutdinov:
Worst Cases Policy Gradients. CoRL 2019: 1078-1093 - [c134]Yao-Hung Hubert Tsai, Santosh Kumar Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi:
Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph. CVPR 2019: 10424-10433 - [c133]Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov:
Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel. EMNLP/IJCNLP (1) 2019: 4343-4352 - [c132]Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabás Póczos, Ruslan Salakhutdinov:
Point Cloud GAN. DGS@ICLR 2019 - [c131]Bowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing:
Connecting the Dots Between MLE and RL for Sequence Generation. DeepRLStructPred@ICLR 2019 - [c130]Yao-Hung Hubert Tsai, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency, Ruslan Salakhutdinov:
Learning Factorized Multimodal Representations. ICLR (Poster) 2019 - [c129]Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing:
AutoLoss: Learning Discrete Schedule for Alternate Optimization. ICLR (Poster) 2019 - [c128]Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu:
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. ICLR (Poster) 2019 - [c127]William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden Codel, Manuela Veloso, Ruslan Salakhutdinov:
MineRL: A Large-Scale Dataset of Minecraft Demonstrations. IJCAI 2019: 2442-2448 - [c126]Ruslan Salakhutdinov:
Integrating Domain-Knowledge into Deep Learning. KDD 2019: 3176 - [c125]Paul Pu Liang, Yao Chong Lim, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Louis-Philippe Morency:
Strong and Simple Baselines for Multimodal Utterance Embeddings. NAACL-HLT (1) 2019: 2599-2609 - [c124]Simon S. Du, Kangcheng Hou, Ruslan Salakhutdinov, Barnabás Póczos, Ruosong Wang, Keyulu Xu:
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels. NeurIPS 2019: 5724-5734 - [c123]Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le:
XLNet: Generalized Autoregressive Pretraining for Language Understanding. NeurIPS 2019: 5754-5764 - [c122]Sanjeev Arora, Simon S. Du, Wei Hu, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang:
On Exact Computation with an Infinitely Wide Neural Net. NeurIPS 2019: 8139-8148 - [c121]Ziyin Liu, Zhikang Wang, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency, Masahito Ueda:
Deep Gamblers: Learning to Abstain with Portfolio Theory. NeurIPS 2019: 10622-10632 - [c120]Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Geoffrey J. Gordon:
Learning Neural Networks with Adaptive Regularization. NeurIPS 2019: 11389-11400 - [c119]Ben Eysenbach, Ruslan Salakhutdinov, Sergey Levine:
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning. NeurIPS 2019: 15220-15231 - [c118]Yichuan Charlie Tang, Ruslan Salakhutdinov:
Multiple Futures Prediction. NeurIPS 2019: 15398-15408 - [c117]Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing:
Learning Data Manipulation for Augmentation and Weighting. NeurIPS 2019: 15738-15749 - [c116]Zhilin Yang, Thang Luong, Ruslan Salakhutdinov, Quoc V. Le:
Mixtape: Breaking the Softmax Bottleneck Efficiently. NeurIPS 2019: 15922-15930 - [e1]Kamalika Chaudhuri, Ruslan Salakhutdinov:
Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA. Proceedings of Machine Learning Research 97, PMLR 2019 [contents] - [i113]Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc V. Le, Ruslan Salakhutdinov:
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context. CoRR abs/1901.02860 (2019) - [i112]Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra:
Embodied Multimodal Multitask Learning. CoRR abs/1902.01385 (2019) - [i111]Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum:
The Omniglot Challenge: A 3-Year Progress Report. CoRR abs/1902.03477 (2019) - [i110]Emilio Parisotto, Soham Ghosh, Sai Bhargav Yalamanchi, Varsha Chinnaobireddy, Yuhuai Wu, Ruslan Salakhutdinov:
Concurrent Meta Reinforcement Learning. CoRR abs/1903.02710 (2019) - [i109]Yao-Hung Hubert Tsai, Santosh Kumar Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi:
Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph. CoRR abs/1903.10547 (2019) - [i108]William H. Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noburu Kuno, Stephanie Milani, Sharada P. Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Phillip Wang:
The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors. CoRR abs/1904.10079 (2019) - [i107]Sanjeev Arora, Simon S. Du, Wei Hu, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang:
On Exact Computation with an Infinitely Wide Neural Net. CoRR abs/1904.11955 (2019) - [i106]Simon S. Du, Kangcheng Hou, Barnabás Póczos, Ruslan Salakhutdinov, Ruosong Wang, Keyulu Xu:
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels. CoRR abs/1905.13192 (2019) - [i105]Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov:
Multimodal Transformer for Unaligned Multimodal Language Sequences. CoRR abs/1906.00295 (2019) - [i104]Paul Pu Liang, Yao Chong Lim, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Louis-Philippe Morency:
Strong and Simple Baselines for Multimodal Utterance Embeddings. CoRR abs/1906.02125 (2019) - [i103]Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine:
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning. CoRR abs/1906.05253 (2019) - [i102]Lisa Lee, Benjamin Eysenbach, Emilio Parisotto, Eric P. Xing, Sergey Levine, Ruslan Salakhutdinov:
Efficient Exploration via State Marginal Matching. CoRR abs/1906.05274 (2019) - [i101]Shrimai Prabhumoye, Khyathi Raghavi Chandu, Ruslan Salakhutdinov, Alan W. Black:
"My Way of Telling a Story": Persona based Grounded Story Generation. CoRR abs/1906.06401 (2019) - [i100]Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, Quoc V. Le:
XLNet: Generalized Autoregressive Pretraining for Language Understanding. CoRR abs/1906.08237 (2019) - [i99]Ziyin Liu, Zhikang Wang, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency, Masahito Ueda:
Deep Gamblers: Learning to Abstain with Portfolio Theory. CoRR abs/1907.00208 (2019) - [i98]Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency:
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization. CoRR abs/1907.01011 (2019) - [i97]Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Geoffrey J. Gordon:
Learning Neural Networks with Adaptive Regularization. CoRR abs/1907.06288 (2019) - [i96]William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden Codel, Manuela Veloso, Ruslan Salakhutdinov:
MineRL: A Large-Scale Dataset of Minecraft Demonstrations. CoRR abs/1907.13440 (2019) - [i95]Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov:
Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel. CoRR abs/1908.11775 (2019) - [i94]Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang:
LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport. CoRR abs/1909.02373 (2019) - [i93]William H. Guss, Ruslan Salakhutdinov:
On Universal Approximation by Neural Networks with Uniform Guarantees on Approximation of Infinite Dimensional Maps. CoRR abs/1910.01545 (2019) - [i92]Sanjeev Arora, Simon S. Du, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang, Dingli Yu:
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks. CoRR abs/1910.01663 (2019) - [i91]Muqiao Yang, Martin Q. Ma, Dongyu Li, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov:
Complex Transformer: A Framework for Modeling Complex-Valued Sequence. CoRR abs/1910.10202 (2019) - [i90]Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing:
Learning Data Manipulation for Augmentation and Weighting. CoRR abs/1910.12795 (2019) - [i89]Zhiyuan Li, Ruosong Wang, Dingli Yu, Simon S. Du, Wei Hu, Ruslan Salakhutdinov, Sanjeev Arora:
Enhanced Convolutional Neural Tangent Kernels. CoRR abs/1911.00809 (2019) - [i88]Yichuan Charlie Tang, Ruslan Salakhutdinov:
Multiple Futures Prediction. CoRR abs/1911.00997 (2019) - [i87]Yichuan Charlie Tang, Jian Zhang, Ruslan Salakhutdinov:
Worst Cases Policy Gradients. CoRR abs/1911.03618 (2019) - [i86]Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov:
Geometric Capsule Autoencoders for 3D Point Clouds. CoRR abs/1912.03310 (2019) - 2018
- [c115]Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Dheeraj Rajagopal, Ruslan Salakhutdinov:
Gated-Attention Architectures for Task-Oriented Language Grounding. AAAI 2018: 2819-2826 - [c114]Devendra Singh Chaplot, Ruslan Salakhutdinov:
Knowledge-based Word Sense Disambiguation using Topic Models. AAAI 2018: 5062-5069 - [c113]Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, Alan W. Black:
Style Transfer Through Back-Translation. ACL (1) 2018: 866-876 - [c112]Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth R. Koedinger:
Learning Cognitive Models Using Neural Networks. AIED (1) 2018: 43-56 - [c111]Sashank J. Reddi, Manzil Zaheer, Suvrit Sra, Barnabás Póczos, Francis R. Bach, Ruslan Salakhutdinov, Alexander J. Smola:
A Generic Approach for Escaping Saddle points. AISTATS 2018: 1233-1242 - [c110]Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov:
Investigating the Working of Text Classifiers. COLING 2018: 2120-2131 - [c109]Emilio Parisotto, Devendra Singh Chaplot, Jian Zhang, Ruslan Salakhutdinov:
Global Pose Estimation With an Attention-Based Recurrent Network. CVPR Workshops 2018: 237-246 - [c108]Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning:
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. EMNLP 2018: 2369-2380 - [c107]Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen:
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. EMNLP 2018: 4231-4242 - [c106]Devendra Singh Chaplot, Emilio Parisotto, Ruslan Salakhutdinov:
Active Neural Localization. ICLR (Poster) 2018 - [c105]Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing:
On Unifying Deep Generative Models. ICLR (Poster) 2018 - [c104]Lisa Lee, Emilio Parisotto, Devendra Singh Chaplot, Ruslan Salakhutdinov:
LSTM Iteration Networks: An Exploration of Differentiable Path Finding. ICLR (Workshop) 2018 - [c103]