| Curiosity-driven exploration by self-supervised prediction D Pathak, P Agrawal, AA Efros, T Darrell International conference on machine learning, 2778-2787, 2017 | 2100 | 2017 |
| Human pose estimation with iterative error feedback J Carreira, P Agrawal, K Fragkiadaki, J Malik Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 845 | 2016 |
| What makes ImageNet good for transfer learning? M Huh, P Agrawal, AA Efros Advances in Neural Information Processing Systems Workshop, 2016 | 665 | 2016 |
| Learning to see by moving P Agrawal, J Carreira, J Malik Proceedings of the IEEE international conference on computer vision, 37-45, 2015 | 619 | 2015 |
| Fully automated echocardiogram interpretation in clinical practice: feasibility and diagnostic accuracy J Zhang, S Gajjala, P Agrawal, GH Tison, LA Hallock, L Beussink-Nelson, ... Circulation 138 (16), 1623-1635, 2018 | 554 | 2018 |
| Analyzing the performance of multilayer neural networks for object recognition P Agrawal, R Girshick, J Malik Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 540 | 2014 |
| Learning to poke by poking: Experiential learning of intuitive physics P Agrawal, AV Nair, P Abbeel, J Malik, S Levine Advances in neural information processing systems 29, 2016 | 535 | 2016 |
| Combining self-supervised learning and imitation for vision-based rope manipulation A Nair, D Chen, P Agrawal, P Isola, P Abbeel, J Malik, S Levine 2017 IEEE international conference on robotics and automation (ICRA), 2146-2153, 2017 | 268 | 2017 |
| Zero-shot visual imitation D Pathak, P Mahmoudieh, G Luo, P Agrawal, D Chen, Y Shentu, ... International Conference on Learning Representations, 2018 | 261 | 2018 |
| Learning visual predictive models of physics for playing billiards K Fragkiadaki, P Agrawal, S Levine, J Malik International Conference on Learning Representations, 2015 | 258 | 2015 |
| Investigating human priors for playing video games R Dubey, P Agrawal, D Pathak, TL Griffiths, AA Efros Proceedings of the 35th International Conference on Machine Learning, 1349--1357, 2018 | 156 | 2018 |
| Pixels to voxels: modeling visual representation in the human brain P Agrawal, D Stansbury, J Malik, JL Gallant arXiv preprint arXiv:1407.5104, 2014 | 104 | 2014 |
| Opal: Offline primitive discovery for accelerating offline reinforcement learning A Ajay, A Kumar, P Agrawal, S Levine, O Nachum arXiv preprint arXiv:2010.13611, 2020 | 99 | 2020 |
| Generic 3d representation via pose estimation and matching AR Zamir, T Wekel, P Agrawal, C Wei, J Malik, S Savarese Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 97 | 2016 |
| Superposition of many models into one B Cheung, A Terekhov, Y Chen, P Agrawal, B Olshausen arXiv preprint arXiv:1902.05522, 2019 | 96 | 2019 |
| A system for general in-hand object re-orientation T Chen, J Xu, P Agrawal Conference on Robot Learning, 297-307, 2022 | 95 | 2022 |
| Learning to perform physics experiments via deep reinforcement learning M Denil, P Agrawal, TD Kulkarni, T Erez, P Battaglia, N de Freitas International Conference on Learning Representations, 2017 | 83 | 2017 |
| What will happen next? forecasting player moves in sports videos P Felsen, P Agrawal, J Malik Proceedings of the IEEE international conference on computer vision, 3342-3351, 2017 | 80 | 2017 |
| Towards practical multi-object manipulation using relational reinforcement learning R Li, A Jabri, T Darrell, P Agrawal 2020 ieee international conference on robotics and automation (icra), 4051-4058, 2020 | 77 | 2020 |
| 3d neural scene representations for visuomotor control Y Li, S Li, V Sitzmann, P Agrawal, A Torralba Conference on Robot Learning, 112-123, 2022 | 63 | 2022 |
Jitendra MalikProfessor of EECS, UC BerkeleyVerified email at eecs.berkeley.edu
