Denis Yarats - RankMe

41 papers A* 12A 1Misc 1Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DRACO: a Cross-Domain Benchmark for Deep Research Accuracy, Completeness, and Objectivity. CoRR Joey Zhong, Hao Zhang, Clare Southern, Jeremy Yang, Thomas Wang, Kate Jung, Shu Zhang, Denis Yarats, Johnny Ho, Jerry Ma
2025	J	`jnl`	BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents. CoRR Kaiyuan Zhang, Mark Tenenholtz, Kyle Polley, Jerry Ma, Denis Yarats, Ninghui Li
2025	J	`jnl`	The Adoption and Usage of AI Agents: Early Evidence from Perplexity. CoRR Jeremy Yang, Noah Yonack, Kate Zyskowski, Denis Yarats, Johnny Ho, Jerry Ma
2022	J	`jnl`	CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery. CoRR Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel
2022	J	`jnl`	Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning. CoRR Denis Yarats, David Brandfonbrener, Hao Liu, Michael Laskin, Pieter Abbeel, Alessandro Lazaric, Lerrel Pinto
2022	A*	`conf`	Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning. ICLR Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto
2022	A*	`conf`	Unsupervised Reinforcement Learning with Contrastive Intrinsic Control. NeurIPS Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel
2022	Misc	`conf`	Watch and Match: Supercharging Imitation with Regularized Optimal Transport. CoRL Siddhant Haldar, Vaibhav Mathur, Denis Yarats, Lerrel Pinto
2022	J	`jnl`	Watch and Match: Supercharging Imitation with Regularized Optimal Transport. CoRR Siddhant Haldar, Vaibhav Mathur, Denis Yarats, Lerrel Pinto
2021	J	`jnl`	A Robot Cluster for Reproducible Research in Dexterous Manipulation. CoRR Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles B. Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bernhard Schölkopf
2021	A*	`conf`	Automatic Data Augmentation for Generalization in Reinforcement Learning. NeurIPS Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus
2021	A*	`conf`	Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels. ICLR Denis Yarats, Ilya Kostrikov, Rob Fergus
2021	A*	`conf`	Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. AAAI Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus
2021	A	`conf`	Learning Navigation Skills for Legged Robots with Learned Robot Embeddings. IROS Joanne Truong, Denis Yarats, Tianyu Li, Franziska Meier, Sonia Chernova, Dhruv Batra, Akshara Rai
2021	J	`jnl`	Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning. CoRR Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto
2021	A*	`conf`	On the Adequacy of Untuned Warmup for Adaptive Optimization. AAAI Jerry Ma, Denis Yarats
2021	—	`conf`	On the model-based stochastic value gradient for continuous reinforcement learning. L4DC Brandon Amos, Samuel Stanton, Denis Yarats, Andrew Gordon Wilson
2021	—	`conf`	Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf
2021	A*	`conf`	Reinforcement Learning with Prototypical Representations. ICML Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto
2021	J	`jnl`	Reinforcement Learning with Prototypical Representations. CoRR Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto
2021	—	`conf`	URLB: Unsupervised Reinforcement Learning Benchmark. NeurIPS Datasets and Benchmarks Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel
2021	J	`jnl`	URLB: Unsupervised Reinforcement Learning Benchmark. CoRR Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel
2020	J	`jnl`	Automatic Data Augmentation for Generalization in Deep Reinforcement Learning. CoRR Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus
2020	J	`jnl`	Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels. CoRR Ilya Kostrikov, Denis Yarats, Rob Fergus
2020	J	`jnl`	Learning Navigation Skills for Legged Robots with Learned Robot Embeddings. CoRR Joanne Truong, Denis Yarats, Tianyu Li, Franziska Meier, Sonia Chernova, Dhruv Batra, Akshara Rai
2020	J	`jnl`	On the model-based stochastic value gradient for continuous reinforcement learning. CoRR Brandon Amos, Samuel Stanton, Denis Yarats, Andrew Gordon Wilson
2020	A*	`conf`	The Differentiable Cross-Entropy Method. ICML Brandon Amos, Denis Yarats
2019	J	`jnl`	Generalized Inner Loop Meta-Learning. CoRR Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala
2019	A*	`conf`	Hierarchical Decision Making by Generating and Following Natural Language Instructions. NeurIPS Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis
2019	J	`jnl`	Hierarchical Decision Making by Generating and Following Natural Language Instructions. CoRR Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis
2019	J	`jnl`	Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. CoRR Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus
2019	J	`jnl`	On the adequacy of untuned warmup for adaptive optimization. CoRR Jerry Ma, Denis Yarats
2019	—	`conf`	Quasi-hyperbolic momentum and Adam for deep learning. ICLR (Poster) Jerry Ma, Denis Yarats
2019	J	`jnl`	The Differentiable Cross-Entropy Method. CoRR Brandon Amos, Denis Yarats
2018	A*	`conf`	Hierarchical Text Generation and Planning for Strategic Dialogue. ICML Denis Yarats, Mike Lewis
2018	J	`jnl`	Quasi-hyperbolic momentum and Adam for deep learning. CoRR Jerry Ma, Denis Yarats
2017	A*	`conf`	Convolutional Sequence to Sequence Learning. ICML Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin
2017	J	`jnl`	Convolutional Sequence to Sequence Learning. CoRR Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin
2017	J	`jnl`	Deal or No Deal? End-to-End Learning for Negotiation Dialogues. CoRR Mike Lewis, Denis Yarats, Yann N. Dauphin, Devi Parikh, Dhruv Batra
2017	A*	`conf`	Deal or No Deal? End-to-End Learning of Negotiation Dialogues. EMNLP Mike Lewis, Denis Yarats, Yann N. Dauphin, Devi Parikh, Dhruv Batra
2017	J	`jnl`	Hierarchical Text Generation and Planning for Strategic Dialogue. CoRR Denis Yarats, Mike Lewis