Allan Zhou

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Top Venues

Publications

Lirui Wang, Kaiqing Zhang, Allan Zhou, Max Simchowitz, Russ Tedrake
Robot Fleet Learning via Policy Merging. ICLR (2024)
Allan Zhou, Chelsea Finn, James Harrison
Universal Neural Functionals. CoRR (2024)
Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano
Neural Processing of Tri-Plane Hybrid Neural Fields. ICLR (2024)
Caroline Choi, Yoonho Lee, Annie S. Chen, Allan Zhou, Aditi Raghunathan, Chelsea Finn
AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data. CoRR (2024)
Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Neural Functional Transformers. NeurIPS (2023)
Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano
Neural Processing of Tri-Plane Hybrid Neural Fields. CoRR (2023)
Lirui Wang, Kaiqing Zhang, Allan Zhou, Max Simchowitz, Russ Tedrake
Fleet Policy Learning via Weight Merging and An Application to Robotic Tool-Use. CoRR (2023)
Allan Zhou, Moo Jin Kim, Lirui Wang, Pete Florence, Chelsea Finn
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis. CoRR (2023)
Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback. CoRR (2023)
Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning. ICML (2023)
Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning. CoRR (2023)
Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Permutation Equivariant Neural Functionals. CoRR (2023)
Xinyu Yang, Huaxiu Yao, Allan Zhou, Chelsea Finn
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations. Trans. Mach. Learn. Res. 2023 (2023)
Allan Zhou, Moo Jin Kim, Lirui Wang, Pete Florence, Chelsea Finn
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis. CVPR (2023)
Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Neural Functional Transformers. CoRR (2023)
Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback. EMNLP (2023)
Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Permutation Equivariant Neural Functionals. NeurIPS (2023)
Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn
Do deep networks transfer invariances across classes? ICLR (2022)
Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran
Policy Architectures for Compositional Generalization in Control. CoRR (2022)
Huaxiu Yao, Xinyu Yang, Allan Zhou, Chelsea Finn
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations. CoRR (2022)
Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn
Do Deep Networks Transfer Invariances Across Classes? CoRR (2022)
Allan Zhou, Nicholas C. Landolfi, Daniel C. O'Neill
Unsupervised language models for disease variant prediction. CoRR (2022)
Allan Zhou, Tom Knowles, Chelsea Finn
Meta-learning Symmetries by Reparameterization. ICLR (2021)
Ferran Alet, Dylan Doblar, Allan Zhou, Joshua B. Tenenbaum, Kenji Kawaguchi, Chelsea Finn
Noether Networks: Meta-Learning Useful Conserved Quantities. CoRR (2021)
Behzad Haghgoo, Allan Zhou, Archit Sharma, Chelsea Finn
Discriminator Augmented Model-Based Reinforcement Learning. CoRR (2021)
Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn
Noether Networks: meta-learning useful conserved quantities. NeurIPS (2021)
Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn
Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards. ICLR (2020)
Allan Zhou, Tom Knowles, Chelsea Finn
Meta-Learning Symmetries by Reparameterization. CoRR (2020)
Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward. CoRR (2019)
Allan Zhou, Anca D. Dragan
Cost Functions for Robot Motion Style. IROS (2018)
Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan
Expressive Robot Motion Timing. CoRR (2018)
Allan Zhou, Anca D. Dragan
Cost Functions for Robot Motion Style. CoRR (2018)
Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan
Expressive Robot Motion Timing. HRI (2017)