Pathak, Deepak

80 publications

CoRL 2025 Deep Reactive Policy: Learning Reactive Manipulator Motion Planning for Dynamic Environments Jiahui Yang, Jason Jingzhou Liu, Yulong Li, Youssef Khaky, Kenneth Shaw, Deepak Pathak

NeurIPS 2025 Diffusion Beats Autoregressive in Data-Constrained Settings Mihir Prabhudesai, Mengning Wu, Amir Zadeh, Katerina Fragkiadaki, Deepak Pathak

ICLR 2025 Generative Classifiers Avoid Shortcut Solutions Alexander Cong Li, Ananya Kumar, Deepak Pathak

CoRL 2025 LocoFormer: Generalist Locomotion via Long-Context Adaptation Min Liu, Deepak Pathak, Ananye Agarwal

CoRL 2024 Bimanual Dexterity for Complex Tasks Kenneth Shaw, Yulong Li, Jiahui Yang, Mohan Kumar Srirama, Ray Liu, Haoyu Xiong, Russell Mendonca, Deepak Pathak

CoRL 2024 Continuously Improving Mobile Manipulation with Autonomous Real-World RL Russell Mendonca, Emmanuel Panov, Bernadette Bucher, Jiuguang Wang, Deepak Pathak

ECCV 2024 Evaluating Text-to-Visual Generation with Image-to-Text Generation Zhiqiu Lin, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, Deva Ramanan

CVPRW 2024 Evaluating and Improving Compositional Text-to-Visual Generation Baiqi Li, Zhiqiu Lin, Deepak Pathak, Jiayao Li, Yixin Fei, Kewen Wu, Xide Xia, Pengchuan Zhang, Graham Neubig, Deva Ramanan

ICMLW 2024 Generative Classifiers Avoid Shortcut Solutions Alexander Cong Li, Ananya Kumar, Deepak Pathak

CVPR 2024 Language Models as Black-Box Optimizers for Vision-Language Models Shihong Liu, Samuel Yu, Zhiqiu Lin, Deepak Pathak, Deva Ramanan

CoRL 2024 Legolas: Deep Leg-Inertial Odometry Justin Wasserman, Ananye Agarwal, Rishabh Jangir, Girish Chowdhary, Deepak Pathak, Abhinav Gupta

ICLR 2024 Meta-Evolve: Continuous Robot Evolution for One-to-Many Policy Transfer Xingyu Liu, Deepak Pathak, Ding Zhao

NeurIPS 2024 On the Surprising Effectiveness of Attention Transfer for Vision Transformers Alexander C. Li, Yuandong Tian, Beidi Chen, Deepak Pathak, Xinlei Chen

ICML 2024 Revisiting the Role of Language Priors in Vision-Language Models Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan

ICML 2024 SAPG: Split and Aggregate Policy Gradients Jayesh Singla, Ananye Agarwal, Deepak Pathak

CVPR 2024 SPIN: Simultaneous Perception Interaction and Navigation Shagun Uppal, Ananye Agarwal, Haoyu Xiong, Kenneth Shaw, Deepak Pathak

CVPR 2023 Affordances from Human Videos as a Versatile Representation for Robotics Shikhar Bahl, Russell Mendonca, Lili Chen, Unnat Jain, Deepak Pathak

CoRL 2023 DEFT: Dexterous Fine-Tuning for Hand Policies Aditya Kannan, Kenneth Shaw, Shikhar Bahl, Pragna Mannam, Deepak Pathak

CoRL 2023 Dexterous Functional Grasping Ananye Agarwal, Shagun Uppal, Kenneth Shaw, Deepak Pathak

NeurIPS 2023 Diffusion-TTA: Test-Time Adaptation of Discriminative Models via Generative Feedback Mihir Prabhudesai, Tsung-Wei Ke, Alex Li, Deepak Pathak, Katerina Fragkiadaki

ICML 2023 Efficient RL via Disentangled Environment and Agent Representations Kevin Gmelin, Shikhar Bahl, Russell Mendonca, Deepak Pathak

WACV 2023 FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran

ICML 2023 Internet Explorer: Targeted Representation Learning on the Open Web Alexander Cong Li, Ellis Langham Brown, Alexei A Efros, Deepak Pathak

CVPR 2023 Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, Deepak Pathak, Deva Ramanan

CoRL 2023 PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play Lili Chen, Shikhar Bahl, Deepak Pathak

ICMLW 2023 Test-Time Adaptation with Diffusion Models Mihir Prabhudesai, Tsung-Wei Ke, Alexander Cong Li, Deepak Pathak, Katerina Fragkiadaki

ICML 2023 Test-Time Adaptation with Slot-Centric Models Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd Van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki

ICCV 2023 Your Diffusion Model Is Secretly a Zero-Shot Classifier Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak

ICMLW 2023 Your Diffusion Model Is Secretly a Zero-Shot Classifier Alexander Cong Li, Mihir Prabhudesai, Shivam Duggal, Ellis Langham Brown, Deepak Pathak

NeurIPS 2022 Continual Learning with Evolving Class Ontologies Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong

CVPR 2022 Coupling Vision and Proprioception for Navigation of Legged Robots Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak

CVPRW 2022 Coupling Vision and Proprioception for Navigation of Legged Robots Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak

CoRL 2022 Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion Zipeng Fu, Xuxin Cheng, Deepak Pathak

CoRL 2022 HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration Xingyu Liu, Deepak Pathak, Kris M. Kitani

ECCVW 2022 Internet Curiosity: Directed Unsupervised Learning on Uncurated Internet Data Alexander C. Li, Ellis Brown, Alexei A. Efros, Deepak Pathak

ICML 2022 Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch

CoRL 2022 Legged Locomotion in Challenging Terrains Using Egocentric Vision Ananye Agarwal, Ashish Kumar, Jitendra Malik, Deepak Pathak

ICML 2022 REvolveR: Continuous Evolutionary Models for Robot-to-Robot Policy Transfer Xingyu Liu, Deepak Pathak, Kris Kitani

NeurIPSW 2022 Test-Time Adaptation with Slot-Centric Models Mihir Prabhudesai, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki, Gaurav Aggarwal, Thomas Kipf

NeurIPSW 2022 Test-Time Adaptation with Slot-Centric Models Mihir Prabhudesai, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki, Gaurav Aggarwal, Thomas Kipf

CVPR 2022 Topologically-Aware Deformation Fields for Single-View 3D Reconstruction Shivam Duggal, Deepak Pathak

ECCV 2022 Understanding Collapse in Non-Contrastive Siamese Representation Learning Alexander C. Li, Alexei A. Efros, Deepak Pathak

CoRL 2022 VideoDex: Learning Dexterity from Internet Videos Kenneth Shaw, Shikhar Bahl, Deepak Pathak

ICML 2022 Zero-Shot Reward Specification via Grounded Natural Language Parsa Mahmoudieh, Deepak Pathak, Trevor Darrell

ICLRW 2022 Zero-Shot Reward Specification via Grounded Natural Language Parsa Mahmoudieh, Deepak Pathak, Trevor Darrell

NeurIPS 2021 Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal, Deepak Pathak, Ruslan Salakhutdinov

NeurIPSW 2021 Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal, Deepak Pathak, Ruslan Salakhutdinov

ICML 2021 Differentiable Spatial Planning Using Transformers Devendra Singh Chaplot, Deepak Pathak, Jitendra Malik

NeurIPS 2021 Discovering and Achieving Goals via World Models Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak

ICMLW 2021 Discovering and Achieving Goals with World Models Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak

NeurIPS 2021 Functional Regularization for Reinforcement Learning via Learned Fourier Features Alexander Li, Deepak Pathak

NeurIPS 2021 Interesting Object, Curious Agent: Learning Task-Agnostic Exploration Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta

ICLR 2021 Learning Long-Term Visual Dynamics with Region Proposal Interaction Networks Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik

CoRL 2021 Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots Zipeng Fu, Ashish Kumar, Jitendra Malik, Deepak Pathak

ICML 2021 Unsupervised Learning of Visual 3D Keypoints for Control Boyuan Chen, Pieter Abbeel, Deepak Pathak

ICCV 2021 Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image Ronghang Hu, Nikhila Ravi, Alexander C. Berg, Deepak Pathak

UAI 2020 Locally Masked Convolution for Autoregressive Models Ajay Jain, Pieter Abbeel, Deepak Pathak

NeurIPS 2020 Neural Dynamic Policies for End-to-End Sensorimotor Learning Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta, Deepak Pathak

ICML 2020 One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang, Igor Mordatch, Deepak Pathak

ICML 2020 Planning to Explore via Self-Supervised World Models Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak

NeurIPS 2020 Sparse Graphical Memory for Robust Planning Scott Emmons, Ajay N. Jain, Misha Laskin, Thanard Kurutach, Pieter Abbeel, Deepak Pathak

ICLRW 2019 Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell

ICLR 2019 Large-Scale Study of Curiosity-Driven Learning Yuri Burda, Harri Edwards, Deepak Pathak, Amos Storkey, Trevor Darrell, Alexei A. Efros

NeurIPS 2019 Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A Efros

ICML 2019 Self-Supervised Exploration via Disagreement Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta

NeurIPS 2019 Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller Pratyusha Sharma, Deepak Pathak, Abhinav Gupta

ICML 2018 Investigating Human Priors for Playing Video Games Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Tom Griffiths, Alexei Efros

CVPRW 2018 Learning Instance Segmentation by Interaction Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik

ICLR 2018 Zero-Shot Visual Imitation Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell

CVPRW 2018 Zero-Shot Visual Imitation Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell

ICML 2017 Curiosity-Driven Exploration by Self-Supervised Prediction Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell

CVPRW 2017 Curiosity-Driven Exploration by Self-Supervised Prediction Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell

CVPR 2017 Learning Features by Watching Objects Move Deepak Pathak, Ross Girshick, Piotr Dollar, Trevor Darrell, Bharath Hariharan

NeurIPS 2017 Toward Multimodal Image-to-Image Translation Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A Efros, Oliver Wang, Eli Shechtman

CVPR 2016 Context Encoders: Feature Learning by Inpainting Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, Alexei A. Efros

JMLR 2016 Large Scale Visual Recognition Through Adaptation Using Joint Representation and Multiple Instance Learning Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko

WACV 2015 Anomaly Localization in Topic-Based Analysis of Surveillance Videos Deepak Pathak, Abhijit Sharang, Amitabha Mukerjee

ICCV 2015 Constrained Convolutional Neural Networks for Weakly Supervised Segmentation Deepak Pathak, Philipp Krahenbuhl, Trevor Darrell

CVPR 2015 Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko

ICLR 2015 Fully Convolutional Multi-Class Multiple Instance Learning Deepak Pathak, Evan Shelhamer, Jonathan Long, Trevor Darrell