| Meta-learning symmetries by reparameterization A Zhou, T Knowles, C Finn International Conference on Learning Representations, 2020 | 75 | 2020 |
| Watch, try, learn: Meta-learning from demonstrations and reward A Zhou, E Jang, D Kappler, A Herzog, M Khansari, P Wohlhart, Y Bai, ... International Conference on Learning Representations, 2019 | 54 | 2019 |
| Expressive robot motion timing A Zhou, D Hadfield-Menell, A Nagabandi, AD Dragan Proceedings of the 2017 ACM/IEEE international conference on human-robot …, 2017 | 52 | 2017 |
| Noether networks: meta-learning useful conserved quantities F Alet, D Doblar, A Zhou, J Tenenbaum, K Kawaguchi, C Finn Advances in Neural Information Processing Systems 34, 16384-16397, 2021 | 22 | 2021 |
| Cost functions for robot motion style A Zhou, AD Dragan 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 19 | 2018 |
| Just ask for calibration: Strategies for eliciting calibrated confidence scores from language models fine-tuned with human feedback K Tian, E Mitchell, A Zhou, A Sharma, R Rafailov, H Yao, C Finn, ... arXiv preprint arXiv:2305.14975, 2023 | 15 | 2023 |
| Policy architectures for compositional generalization in control A Zhou, V Kumar, C Finn, A Rajeswaran arXiv preprint arXiv:2203.05960, 2022 | 15 | 2022 |
| Nerf in the palm of your hand: Corrective augmentation for robotics via novel-view synthesis A Zhou, MJ Kim, L Wang, P Florence, C Finn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Do Deep Networks Transfer Invariances Across Classes? A Zhou, F Tajwar, A Robey, T Knowles, GJ Pappas, H Hassani, C Finn International Conference on Learning Representations, 2022 | 11 | 2022 |
| Permutation equivariant neural functionals A Zhou, K Yang, K Burns, Y Jiang, S Sokota, JZ Kolter, C Finn arXiv preprint arXiv:2302.14040, 2023 | 7 | 2023 |
| Efficient adaption of robot control policy for new task using meta-learning based on meta-imitation learning and meta-reinforcement learning M Kalakrishnan, Y Bai, P Wohlhart, E Jang, C Finn, SMK Zadeh, S Levine, ... US Patent App. 17/422,260, 2022 | 2 | 2022 |
| Discriminator Augmented Model-Based Reinforcement Learning B Haghgoo, A Zhou, A Sharma, C Finn NeurIPS Deep RL Workshop, 2021 | 2 | 2021 |
| Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning EZ Liu, S Suri, T Mu, A Zhou, C Finn arXiv preprint arXiv:2306.08400, 2023 | 1 | 2023 |
| Neural Functional Transformers A Zhou, K Yang, Y Jiang, K Burns, W Xu, S Sokota, JZ Kolter, C Finn arXiv preprint arXiv:2305.13546, 2023 | 1 | 2023 |
| Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations X Yang, H Yao, A Zhou, C Finn arXiv preprint arXiv:2210.14358, 2022 | 1 | 2022 |
| Fleet Policy Learning via Weight Merging and An Application to Robotic Tool-Use L Wang, K Zhang, A Zhou, M Simchowitz, R Tedrake arXiv preprint arXiv:2310.01362, 2023 | | 2023 |
| Neural Processing of Tri-Plane Hybrid Neural Fields A Cardace, PZ Ramirez, F Ballerini, A Zhou, S Salti, L Di Stefano arXiv preprint arXiv:2310.01140, 2023 | | 2023 |
| Unsupervised language models for disease variant prediction A Zhou, NC Landolfi, DC O'Neill arXiv preprint arXiv:2212.03979, 2022 | | 2022 |
Chelsea FinnStanford University, GoogleVerified email at cs.stanford.edu
