| Women also Snowboard: Overcoming Bias in Captioning Models K Burns, LA Hendricks, T Darrell, A Rohrbach arXiv preprint arXiv:1803.09797, 2018 | 592* | 2018 |
| Object Hallucination in Image Captioning A Rohrbach, LA Hendricks, K Burns, T Darrell, K Saenko arXiv preprint arXiv:1809.02156, 2018 | 497 | 2018 |
| Evaluating Theory of Mind in Question Answering A Nematzadeh, K Burns, E Grant, A Gopnik, TL Griffiths arXiv preprint arXiv:1808.09352, 2018 | 96 | 2018 |
| Permutation equivariant neural functionals A Zhou, K Yang, K Burns, A Cardace, Y Jiang, S Sokota, JZ Kolter, C Finn Advances in Neural Information Processing Systems 36, 2024 | 46 | 2024 |
| Neural functional transformers A Zhou, K Yang, Y Jiang, K Burns, W Xu, S Sokota, JZ Kolter, C Finn Advances in Neural Information Processing Systems 36, 2024 | 31 | 2024 |
| Implicit kinematic policies: Unifying joint and cartesian action spaces in end-to-end robot learning A Ganapathi, P Florence, J Varley, K Burns, K Goldberg, A Zeng 2022 International Conference on Robotics and Automation (ICRA), 2656-2662, 2022 | 15 | 2022 |
| SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection E Tzeng, K Burns, K Saenko, T Darrell arXiv preprint arXiv:1812.00929, 2018 | 14 | 2018 |
| What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? K Burns, Z Witzel, JI Hamid, T Yu, C Finn, K Hausman arXiv preprint arXiv:2312.12444, 2023 | 13* | 2023 |
| Exploiting Attention to Reveal Shortcomings in Memory Models K Burns, A Nematzadeh, E Grant, A Gopnik, T Griffiths Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018 | 8 | 2018 |
| Offline Reinforcement Learning at Multiple Frequencies K Burns, T Yu, C Finn, K Hausman Conference on Robot Learning, 2041-2051, 2023 | 7 | 2023 |
| Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning K Hsu, JI Hamid, K Burns, C Finn, J Wu arXiv preprint arXiv:2404.10282, 2024 | 5 | 2024 |
| GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks K Burns, A Jain, K Go, F Xia, M Stark, S Schaal, K Hausman arXiv preprint arXiv:2404.06645, 2024 | 3* | 2024 |
| RoboCrowd: Scaling Robot Data Collection through Crowdsourcing S Mirchandani, DD Yuan, K Burns, MS Islam, TZ Zhao, C Finn, D Sadigh arXiv preprint arXiv:2411.01915, 2024 | | 2024 |
| A Fast and Accurate Machine Learning Autograder for the Breakout Assignment EZ Liu, D Yuan, A Ahmed, E Cornwall, J Woodrow, K Burns, A Nie, ... Proceedings of the 55th ACM Technical Symposium on Computer Science …, 2024 | | 2024 |
