Deepak Pathak
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
76
Venues
13
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
76 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Generative Classifiers Avoid Shortcut Solutions. | Alexander Cong Li, Ananya Kumar, Deepak Pathak |
| 2025 | ICRA | Local Policies Enable Zero-Shot Long-Horizon Manipulation. | Murtaza Dalal, Min Liu, Walter Talbott, Chen Chen, Deepak Pathak, Jian Zhang, Ruslan Salakhutdinov |
| 2025 | IROS | Neural MP: A Neural Motion Planner. | Murtaza Dalal, Jiahui Yang, Russell Mendonca, Youssef Khaky, Ruslan Salakhutdinov, Deepak Pathak |
| 2024 | CoRL | Continuously Improving Mobile Manipulation with Autonomous Real-World RL. | Russell Mendonca, Emmanuel Panov, Bernadette Bucher, Jiuguang Wang, Deepak Pathak |
| 2024 | CoRL | Bimanual Dexterity for Complex Tasks. | Kenneth Shaw, Yulong Li, Jiahui Yang, Mohan Kumar Srirama, Ray Liu, Haoyu Xiong, Russell Mendonca, Deepak Pathak |
| 2024 | CoRL | Legolas: Deep Leg-Inertial Odometry. | Justin Wasserman, Ananye Agarwal, Rishabh Jangir, Girish Chowdhary, Deepak Pathak, Abhinav Gupta |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Language Models as Black-Box Optimizers for Vision-Language Models. | Shihong Liu, Samuel Yu, Zhiqiu Lin, Deepak Pathak, Deva Ramanan |
| 2024 | CVPR | SPIN: Simultaneous Perception, Interaction and Navigation. | Shagun Uppal, Ananye Agarwal, Haoyu Xiong, Kenneth Shaw, Deepak Pathak |
| 2024 | ECCV | 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 |
| 2024 | ICLR | Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer. | Xingyu Liu, Deepak Pathak, Ding Zhao |
| 2024 | ICML | Revisiting the Role of Language Priors in Vision-Language Models. | Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan |
| 2024 | ICML | SAPG: Split and Aggregate Policy Gradients. | Jayesh Singla, Ananye Agarwal, Deepak Pathak |
| 2024 | IGARSS | Multi-Modal Fusion Methods with Local Neighborhood Information for Crop Yield Prediction at Field and Subfield Levels. | Miro Miranda, Deepak Pathak, Marlon Nuske, Andreas Dengel |
| 2024 | ICRA | Extreme Parkour with Legged Robots. | Xuxin Cheng, Kexin Shi, Ananye Agarwal, Deepak Pathak |
| 2024 | ICRA | Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. | Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schlkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Bchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, Joo Silvrio, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Snderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martn-Martn, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin |
| 2023 | CoRL | Dexterous Functional Grasping. | Ananye Agarwal, Shagun Uppal, Kenneth Shaw, Deepak Pathak |
| 2023 | CoRL | PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play. | Lili Chen, Shikhar Bahl, Deepak Pathak |
| 2023 | CoRL | DEFT: Dexterous Fine-Tuning for Hand Policies. | Aditya Kannan, Kenneth Shaw, Shikhar Bahl, Pragna Mannam, Deepak Pathak |
| 2023 | CVPR | Affordances from Human Videos as a Versatile Representation for Robotics. | Shikhar Bahl, Russell Mendonca, Lili Chen, Unnat Jain, Deepak Pathak |
| 2023 | CVPR | Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models. | Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, Deepak Pathak, Deva Ramanan |
| 2023 | ICCV | Your Diffusion Model is Secretly a Zero-Shot Classifier. | Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak |
| 2023 | ICML | Efficient RL via Disentangled Environment and Agent Representations. | Kevin Gmelin, Shikhar Bahl, Russell Mendonca, Deepak Pathak |
| 2023 | ICML | Internet Explorer: Targeted Representation Learning on the Open Web. | Alexander Cong Li, Ellis Langham Brown, Alexei A. Efros, Deepak Pathak |
| 2023 | ICML | 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 |
| 2023 | IGARSS | Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing. | Hiba Najjar, Patrick Helber, Benjamin Bischke, Peter Habelitz, Cristhian Sanchez, Francisco Alejandro Mena, Miro Miranda, Deepak Pathak, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel |
| 2023 | IGARSS | Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level. | Deepak Pathak, Miro Miranda, Francisco Alejandro Mena, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel |
| 2023 | IGARSS | Influence of Data Cleaning Techniques on Sub-Field Yield Predictions. | Cristhian Sanchez, Deepak Pathak, Miro Miranda, Marcela Charfuelan, Patrick Helber, Marlon Nuske, Benjamin Bischke, Peter Habelitz, Nafisur Rahman, Francisco Alejandro Mena, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Andreas Dengel |
| 2023 | ICRA | Legs as Manipulator: Pushing Quadrupedal Agility Beyond Locomotion. | Xuxin Cheng, Ashish Kumar, Deepak Pathak |
| 2023 | ICRA | ALAN: Autonomously Exploring Robotic Agents in the Real World. | Russell Mendonca, Shikhar Bahl, Deepak Pathak |
| 2023 | IGARSS | Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models. | Patrick Helber, Benjamin Bischke, Peter Habelitz, Cristhian Sanchez, Deepak Pathak, Miro Miranda, Hiba Najjar, Francisco Alejandro Mena, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel |
| 2023 | WACV | FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation. | Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran |
| 2022 | CoRL | Legged Locomotion in Challenging Terrains using Egocentric Vision. | Ananye Agarwal, Ashish Kumar, Jitendra Malik, Deepak Pathak |
| 2022 | CoRL | Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion. | Zipeng Fu, Xuxin Cheng, Deepak Pathak |
| 2022 | CoRL | HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration. | Xingyu Liu, Deepak Pathak, Kris M. Kitani |
| 2022 | CoRL | VideoDex: Learning Dexterity from Internet Videos. | Kenneth Shaw, Shikhar Bahl, Deepak Pathak |
| 2022 | CVPR | Topologically-Aware Deformation Fields for Single-View 3D Reconstruction. | Shivam Duggal, Deepak Pathak |
| 2022 | CVPR | Coupling Vision and Proprioception for Navigation of Legged Robots. | Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak |
| 2022 | CVPR | Coupling Vision and Proprioception for Navigation of Legged Robots. | Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak |
| 2022 | CVPR | Coupling Vision and Proprioception for Navigation of Legged Robots. | Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak |
| 2022 | ECCV | Internet Curiosity: Directed Unsupervised Learning on Uncurated Internet Data. | Alexander C. Li, Ellis Brown, Alexei A. Efros, Deepak Pathak |
| 2022 | ECCV | Understanding Collapse in Non-contrastive Siamese Representation Learning. | Alexander C. Li, Alexei A. Efros, Deepak Pathak |
| 2022 | ICML | Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents. | Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch |
| 2022 | ICML | REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer. | Xingyu Liu, Deepak Pathak, Kris Kitani |
| 2022 | ICML | Zero-Shot Reward Specification via Grounded Natural Language. | Parsa Mahmoudieh, Deepak Pathak, Trevor Darrell |
| 2022 | IROS | Adapting Rapid Motor Adaptation for Bipedal Robots. | Ashish Kumar, Zhongyu Li, Jun Zeng, Deepak Pathak, Koushil Sreenath, Jitendra Malik |
| 2021 | CoRL | Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots. | Zipeng Fu, Ashish Kumar, Jitendra Malik, Deepak Pathak |
| 2021 | ICCV | Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image. | Ronghang Hu, Nikhila Ravi, Alexander C. Berg, Deepak Pathak |
| 2021 | ICLR | Learning Long-term Visual Dynamics with Region Proposal Interaction Networks. | Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik |
| 2021 | ICML | Differentiable Spatial Planning using Transformers. | Devendra Singh Chaplot, Deepak Pathak, Jitendra Malik |
| 2021 | ICML | Unsupervised Learning of Visual 3D Keypoints for Control. | Boyuan Chen, Pieter Abbeel, Deepak Pathak |
| 2021 | ICRA | Auto-Tuned Sim-to-Real Transfer. | Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak |
| 2020 | CogSci | The Origins of Common Sense in Humans and Machines. | Kevin Smith, Eliza Kosoy, Alison Gopnik, Deepak Pathak, Alan Fern, Josh Tenenbaum, Tomer D. Ullman |
| 2020 | CogSci | Exploring Exploration: Comparing Children with Agents in Unified Exploration Environments. | Eliza Kosoy, Jasmine Collins, David M. Chan, Deepak Pathak, Pulkit Agrawal, Alison Gopnik |
| 2020 | ICALT | Tangible Flowchart Blocks for Fostering Logical Thinking in Visually Impaired Learners. | Priya C. Lotlikar, Deepak Pathak, Herold P. C., Chandan Dasgupta |
| 2020 | ICALT | Impact of Gender on Motivation, Engagement and Interaction Behavior in Mobile assisted learning of English. | Ramkumar Rajendran, Gargi Banerjee, Deepak Pathak, Sivaranjani Sivamohan |
| 2020 | ICML | One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control. | Wenlong Huang, Igor Mordatch, Deepak Pathak |
| 2020 | ICML | Planning to Explore via Self-Supervised World Models. | Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak |
| 2020 | UAI | Locally Masked Convolution for Autoregressive Models. | Ajay Jain, Pieter Abbeel, Deepak Pathak |
| 2019 | CogSci | Human-level but not human-like: Deep Reinforcement Learning in the dark. | Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Alyosha A. Efros, Tom Griffiths |
| 2019 | CogSci | Curiouser and Curiouser: Children's intrinsic exploration of mazes and its effects on reaching a goal. | Eliza Kosoy, Deepak Pathak, Pulkit Agrawal, Alison Gopnik |
| 2019 | ICLR | Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition. | Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell |
| 2019 | ICLR | Large-Scale Study of Curiosity-Driven Learning. | Yuri Burda, Harri Edwards, Deepak Pathak, Amos J. Storkey, Trevor Darrell, Alexei A. Efros |
| 2019 | ICML | Self-Supervised Exploration via Disagreement. | Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta |
| 2018 | CVPR | 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 |
| 2018 | CVPR | Learning Instance Segmentation by Interaction. | Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik |
| 2018 | ICLR | Investigating Human Priors for Playing Video Games. | Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Alyosha A. Efros, Thomas L. Griffiths |
| 2018 | ICLR | 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 |
| 2018 | ICML | Investigating Human Priors for Playing Video Games. | Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Tom Griffiths, Alexei A. Efros |
| 2017 | CVPR | Curiosity-Driven Exploration by Self-Supervised Prediction. | Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell |
| 2017 | CVPR | Learning Features by Watching Objects Move. | Deepak Pathak, Ross B. Girshick, Piotr Dollr, Trevor Darrell, Bharath Hariharan |
| 2017 | ICML | Curiosity-driven Exploration by Self-supervised Prediction. | Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell |
| 2016 | CVPR | Context Encoders: Feature Learning by Inpainting. | Deepak Pathak, Philipp Krhenbhl, Jeff Donahue, Trevor Darrell, Alexei A. Efros |
| 2015 | CVPR | Detector discovery in the wild: Joint multiple instance and representation learning. | Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko |
| 2015 | ICCV | Constrained Convolutional Neural Networks for Weakly Supervised Segmentation. | Deepak Pathak, Philipp Krhenbhl, Trevor Darrell |
| 2015 | WACV | Anomaly Localization in Topic-Based Analysis of Surveillance Videos. | Deepak Pathak, Abhijit Sharang, Amitabha Mukerjee |