| 2022 | CoRL | Watch and Match: Supercharging Imitation with Regularized Optimal Transport. | Siddhant Haldar, Vaibhav Mathur, Denis Yarats, Lerrel Pinto |
| 2022 | ICLR | Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning. | Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto |
| 2021 | AAAI | On the Adequacy of Untuned Warmup for Adaptive Optimization. | Jerry Ma, Denis Yarats |
| 2021 | AAAI | Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. | Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus |
| 2021 | ICLR | Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels. | Denis Yarats, Ilya Kostrikov, Rob Fergus |
| 2021 | ICML | Reinforcement Learning with Prototypical Representations. | Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto |
| 2021 | IROS | Learning Navigation Skills for Legged Robots with Learned Robot Embeddings. | Joanne Truong, Denis Yarats, Tianyu Li, Franziska Meier, Sonia Chernova, Dhruv Batra, Akshara Rai |
| 2020 | ICML | The Differentiable Cross-Entropy Method. | Brandon Amos, Denis Yarats |
| 2019 | ICLR | Quasi-hyperbolic momentum and Adam for deep learning. | Jerry Ma, Denis Yarats |
| 2018 | ICML | Hierarchical Text Generation and Planning for Strategic Dialogue. | Denis Yarats, Mike Lewis |
| 2017 | EMNLP | Deal or No Deal? End-to-End Learning of Negotiation Dialogues. | Mike Lewis, Denis Yarats, Yann N. Dauphin, Devi Parikh, Dhruv Batra |
| 2017 | ICML | Convolutional Sequence to Sequence Learning. | Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin |