| Learning modular neural network policies for multi-task and multi-robot transfer C Devin, A Gupta, T Darrell, P Abbeel, S Levine 2017 IEEE international conference on robotics and automation (ICRA), 2169-2176, 2017 | 203 | 2017 |
| Learning invariant feature spaces to transfer skills with reinforcement learning A Gupta, C Devin, YX Liu, P Abbeel, S Levine arXiv preprint arXiv:1703.02949, 2017 | 140 | 2017 |
| Towards adapting deep visuomotor representations from simulated to real environments E Tzeng, C Devin, J Hoffman, C Finn, X Peng, S Levine, K Saenko, ... arXiv preprint arXiv:1511.07111 2 (3), 2015 | 82 | 2015 |
| Adapting deep visuomotor representations with weak pairwise constraints E Tzeng, C Devin, J Hoffman, C Finn, P Abbeel, S Levine, K Saenko, ... arXiv preprint arXiv:1511.07111, 2015 | 79* | 2015 |
| Grasp2vec: Learning object representations from self-supervised grasping E Jang, C Devin, V Vanhoucke, S Levine arXiv preprint arXiv:1811.06964, 2018 | 59 | 2018 |
| Not all neural embeddings are born equal F Hill, KH Cho, S Jean, C Devin, Y Bengio arXiv preprint arXiv:1410.0718, 2014 | 51 | 2014 |
| Embedding word similarity with neural machine translation F Hill, K Cho, S Jean, C Devin, Y Bengio arXiv preprint arXiv:1412.6448, 2014 | 48 | 2014 |
| Deep object-centric policies for autonomous driving D Wang, C Devin, QZ Cai, F Yu, T Darrell 2019 International Conference on Robotics and Automation (ICRA), 8853-8859, 2019 | 38 | 2019 |
| Deep object-centric representations for generalizable robot learning C Devin, P Abbeel, T Darrell, S Levine 2018 IEEE International Conference on Robotics and Automation (ICRA), 7111-7118, 2018 | 38 | 2018 |
| Monocular plan view networks for autonomous driving D Wang, C Devin, QZ Cai, P Krähenbühl, T Darrell arXiv preprint arXiv:1905.06937, 2019 | 21 | 2019 |
| Learning to reach goals without reinforcement learning D Ghosh, A Gupta, J Fu, A Reddy, C Devin, B Eysenbach, S Levine arXiv preprint arXiv:1912.06088, 2019 | 8 | 2019 |
| Smirl: Surprise minimizing rl in dynamic environments G Berseth, D Geng, C Devin, C Finn, D Jayaraman, S Levine arXiv preprint arXiv:1912.05510, 2019 | 7* | 2019 |
| Self-Supervised Goal-Conditioned Pick and Place C Devin, P Rowghanian, C Vigorito, W Richards, K Rohanimanesh arXiv preprint arXiv:2008.11466, 2020 | 2 | 2020 |
| Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control C Devin, D Geng, P Abbeel, T Darrell, S Levine Advances in Neural Information Processing Systems, 14989-15000, 2019 | 2 | 2019 |
| Modularity Improves Out-of-Domain Instruction Following R Corona, D Fried, C Devin, D Klein, T Darrell arXiv preprint arXiv:2010.12764, 2020 | 1 | 2020 |
| SMiRL: Surprise Minimizing Reinforcement Learning in Dynamic Environments G Berseth, D Geng, C Devin, N Rhinehart, C Finn, D Jayaraman, S Levine arXiv preprint arXiv:1912.05510, 2019 | 1 | 2019 |
| Learning to reach goals via iterated supervised learning D Ghosh, A Gupta, A Reddy, J Fu, C Devin, B Eysenbach, S Levine arXiv e-prints, arXiv: 1912.06088, 2019 | 1 | 2019 |
| Compositionality and Modularity for Robot Learning C Devin | | 2020 |
| Self-supervised robotic object interaction EV Jang, SV Levine, CM Devin US Patent App. 16/443,765, 2019 | | 2019 |
| No effect of pH on in vitro digestion of carotenoids from sweet potatoes and mandarin oranges BJ Burri, CM Devin, M Rajaonary, M Roman, D La Porte The FASEB Journal 26, 31.1-31.1, 2012 | | 2012 |
