R. Salakhutdinov

Most-cited papers

HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, Kushal Lakhotia +2 more
2021IEEE/ACM Transactions on Audio Speech and Language Processing5,356 citations Open access
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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb +446 more
2022arXiv.org2,702 citations
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Towards Understanding and Mitigating Social Biases in Language Models
P. Liang, Chiyu Wu, L. Morency, R. Salakhutdinov
2021International Conference on Machine Learning530 citations
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Effective Data Augmentation With Diffusion Models
Brandon Trabucco, Kyle Doherty, Max Gurinas, R. Salakhutdinov
2023International Conference on Learning Representations437 citations Open access
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Generating Images with Multimodal Language Models
Jing Yu Koh, Daniel Fried, R. Salakhutdinov
2023Neural Information Processing Systems406 citations Open access
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Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach, Tianjun Zhang, R. Salakhutdinov, S. Levine
2022Neural Information Processing Systems352 citations Open access
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MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
P. Liang, Yiwei Lyu, Xiang Fan, Ze-Tian Wu +8 more
2021NeurIPS Datasets and Benchmarks296 citations
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Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
Yue Wu, Shuangfei Zhai, Nitish Srivastava, J. Susskind +3 more
2021International Conference on Machine Learning237 citations
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Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
Tianwei Ni, Benjamin Eysenbach, R. Salakhutdinov
2021International Conference on Machine Learning204 citations
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FILM: Following Instructions in Language with Modular Methods
So Yeon Min, Devendra Singh Chaplot, P. Ravikumar, Yonatan Bisk +1 more
2021International Conference on Learning Representations199 citations
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Hubert: How Much Can a Bad Teacher Benefit ASR Pre-Training?
Wei-Ning Hsu, Yao-Hung Hubert Tsai, Benjamin Bolte, R. Salakhutdinov +1 more
2021IEEE International Conference on Acoustics, Speech, and Signal Processing185 citations
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Grounding Language Models to Images for Multimodal Inputs and Outputs
Jing Yu Koh, R. Salakhutdinov, Daniel Fried
2023International Conference on Machine Learning173 citations
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Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
P. Liang, Zihao Deng, Martin Q. Ma, James Y. Zou +2 more
2023Neural Information Processing Systems142 citations Open access
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Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis
Yuxin Xiao, P. Liang, Umang Bhatt, W. Neiswanger +2 more
2022Conference on Empirical Methods in Natural Language Processing134 citations Open access
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Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
Murtaza Dalal, Deepak Pathak, R. Salakhutdinov
2021Neural Information Processing Systems123 citations
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Imitating Task and Motion Planning with Visuomotor Transformers
Murtaza Dalal, A. Mandlekar, Caelan Reed Garrett, Ankur Handa +2 more
2023Conference on Robot Learning103 citations Open access
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SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
D. Chaplot, Murtaza Dalal, Saurabh Gupta, J. Malik +1 more
2021Neural Information Processing Systems101 citations
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Grounding Language Models to Images for Multimodal Generation
Jing Yu Koh, R. Salakhutdinov, Daniel Fried
2023arXiv.org98 citations Open access
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The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
W. H. Guss, M. Castro, Sam Devlin, Brandon Houghton +11 more
2021arXiv.org74 citations
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DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations
Yiwei Lyu, P. Liang, Zihao Deng, R. Salakhutdinov +1 more
2022AAAI/ACM Conference on AI, Ethics, and Society59 citations Open access
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Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Benjamin Eysenbach, Alexander Khazatsky, S. Levine, R. Salakhutdinov
2021Neural Information Processing Systems58 citations Open access
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Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
Benjamin Eysenbach, S. Levine, R. Salakhutdinov
2021Neural Information Processing Systems56 citations
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Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
Emilio Parisotto, R. Salakhutdinov
2021International Conference on Learning Representations54 citations
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Robust Predictable Control
Benjamin Eysenbach, R. Salakhutdinov, S. Levine
2021Neural Information Processing Systems53 citations
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The Information Geometry of Unsupervised Reinforcement Learning
Benjamin Eysenbach, R. Salakhutdinov, S. Levine
2021International Conference on Learning Representations49 citations
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StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer
Yiwei Lyu, P. Liang, Hai Pham, E. Hovy +3 more
2021North American Chapter of the Association for Computational Linguistics49 citations Open access
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MultiViz: Towards Visualizing and Understanding Multimodal Models
P. Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain +4 more
2022International Conference on Learning Representations48 citations
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ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers
Haitian Sun, William W. Cohen, R. Salakhutdinov
2021Annual Meeting of the Association for Computational Linguistics48 citations Open access
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Instabilities of Offline RL with Pre-Trained Neural Representation
Ruosong Wang, Yifan Wu, R. Salakhutdinov, S. Kakade
2021International Conference on Machine Learning46 citations
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On Proximal Policy Optimization's Heavy-tailed Gradients
S. Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad +5 more
2021International Conference on Machine Learning46 citations
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Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents
Yue Wu, So Yeon Min, Yonatan Bisk, R. Salakhutdinov +4 more
2023arXiv.org45 citations Open access
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Focused Attention Improves Document-Grounded Generation
Shrimai Prabhumoye, Kazuma Hashimoto, Ying-Bo Zhou, A. Black +1 more
2021North American Chapter of the Association for Computational Linguistics44 citations Open access
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A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning
Yao-Hung Hubert Tsai, Shao-Jie Bai, L. Morency, R. Salakhutdinov
2021arXiv.org43 citations
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Contrastive Difference Predictive Coding
Chong-Yi Zheng, R. Salakhutdinov, Benjamin Eysenbach
2023International Conference on Learning Representations42 citations
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Self-supervised Representation Learning with Relative Predictive Coding
Yao-Hung Hubert Tsai, Martin Q. Ma, Muqiao Yang, Han Zhao +2 more
2021International Conference on Learning Representations41 citations
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HEMM: Holistic Evaluation of Multimodal Foundation Models
P. Liang, Akshay Goindani, Talha Chafekar, Leena Mathur +3 more
2024Neural Information Processing Systems39 citations
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Localized Text-to-Image Generation for Free via Cross Attention Control
Yu-Tong He, R. Salakhutdinov, J. Kolter
2023arXiv.org35 citations Open access
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Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective
Raj Ghugare, Homanga Bharadhwaj, Benjamin Eysenbach, S. Levine +1 more
2022International Conference on Learning Representations35 citations Open access
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Multimodal Graph Learning for Generative Tasks
Minji Yoon, Jing Yu Koh, Bryan Hooi, R. Salakhutdinov
2023arXiv.org33 citations Open access
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Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
P. Liang, Chun-Kai Ling, Yun Cheng, A. Obolenskiy +5 more
2023International Conference on Learning Representations32 citations Open access
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Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
Chong-Yi Zheng, Benjamin Eysenbach, H. Walke, Patrick Yin +3 more
2023International Conference on Learning Representations31 citations
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External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems
Andrew Pavlo, Matthew Butrovich, Ananya Joshi, Lin Ma +4 more
2022IEEE Data Engineering Bulletin31 citations Open access
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Conditional Contrastive Learning with Kernel
Yao-Hung Hubert Tsai, Tian-Qin Li, Martin Q. Ma, Han Zhao +3 more
2022International Conference on Learning Representations31 citations
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Imitating Past Successes can be Very Suboptimal
Benjamin Eysenbach, Soumith Udatha, S. Levine, R. Salakhutdinov
2022Neural Information Processing Systems29 citations Open access
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Recurrent Model-Free RL is a Strong Baseline for Many POMDPs
Tianwei Ni, Benjamin Eysenbach, R. Salakhutdinov
2021arXiv.org29 citations
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PACS: A Dataset for Physical Audiovisual CommonSense Reasoning
Samuel Yu, Peter Wu, P. Liang, R. Salakhutdinov +1 more
2022European Conference on Computer Vision27 citations Open access
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Reasoning Over Virtual Knowledge Bases With Open Predicate Relations
Haitian Sun, Pat Verga, Bhuwan Dhingra, R. Salakhutdinov +1 more
2021International Conference on Machine Learning27 citations
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Conditional Contrastive Learning: Removing Undesirable Information in Self-Supervised Representations
Yao-Hung Hubert Tsai, Martin Q. Ma, Han Zhao, Kun Zhang +2 more
2021arXiv.org27 citations
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Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach, Vivek Myers, R. Salakhutdinov, Sergey Levine
2024Neural Information Processing Systems25 citations
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Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment
Rohan Pandey, Rulin Shao, P. Liang, R. Salakhutdinov +1 more
2022Annual Meeting of the Association for Computational Linguistics24 citations Open access
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