| Side-tuning: a baseline for network adaptation via additive side networks JO Zhang, A Sax, A Zamir, L Guibas, J Malik Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 164 | 2020 |
| Learning to Navigate Using Mid-Level Visual Priors A Sax, JO Zhang, B Emi, A Zamir, S Savarese, L Guibas, J Malik Conference on Robot Learning, 2019 | 60 | 2019 |
| Modular architecture for starcraft ii with deep reinforcement learning D Lee, H Tang, J Zhang, H Xu, T Darrell, P Abbeel Proceedings of the AAAI Conference on Artificial Intelligence and …, 2018 | 57 | 2018 |
| NMS Strikes Back J Ouyang-Zhang, JH Cho, X Zhou, P Krähenbühl arXiv preprint arXiv:2212.06137, 2022 | 38 | 2022 |
| Stability Oracle: A Structure-Based Graph-Transformer for Identifying Stabilizing Mutations DJ Diaz, C Gong, J Ouyang-Zhang, JM Loy, J Wells, D Yang, AD Ellington, ... bioRxiv, 2023.05. 15.540857, 2023 | 8 | 2023 |
| Predicting a Protein's Stability under a Million Mutations J Ouyang-Zhang, DJ Diaz, AR Klivans, P Krähenbühl arXiv preprint arXiv:2310.12979, 2023 | 4 | 2023 |
| Mid-Level Vision at Habitat Challenge A Sax, JO Zhang, B Emi, A Zamir, S Savarese, L Guibas, J Malik | | |
Philipp KrähenbühlUT Austin在 cs.utexas.edu 的电子邮件经过验证
Philipp KrähenbühlUT Austin在 cs.utexas.edu 的电子邮件经过验证