Allan Zhou

According to our database, Allan Zhou authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws.

Yiding Jiang, Allan Zhou, Zhili Feng, Sadhika Malladi, J. Zico Kolter

CoRR, 2024

Universal Neural Functionals.

Allan Zhou, Chelsea Finn, James Harrison

CoRR, 2024

AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data.

Caroline Choi, Yoonho Lee, Annie S. Chen, Allan Zhou, Aditi Raghunathan, Chelsea Finn

CoRR, 2024

Policy Architectures for Compositional Generalization in Control.

Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran

RLJ, 2024

Robot Fleet Learning via Policy Merging.

Lirui Wang, Kaiqing Zhang, Allan Zhou, Max Simchowitz, Russ Tedrake

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Processing of Tri-Plane Hybrid Neural Fields.

Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations.

Xinyu Yang, Huaxiu Yao, Allan Zhou, Chelsea Finn

Trans. Mach. Learn. Res., 2023

Fleet Policy Learning via Weight Merging and An Application to Robotic Tool-Use.

Lirui Wang, Kaiqing Zhang, Allan Zhou, Max Simchowitz, Russ Tedrake

CoRR, 2023

Permutation Equivariant Neural Functionals.

Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn

CoRR, 2023

Neural Functional Transformers.

Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Permutation Equivariant Neural Functionals.

Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning.

Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn

Proceedings of the International Conference on Machine Learning, 2023

Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback.

Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis.

Allan Zhou, Moo Jin Kim, Lirui Wang, Pete Florence, Chelsea Finn

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Unsupervised language models for disease variant prediction.

Allan Zhou, Nicholas C. Landolfi, Daniel C. O'Neill

CoRR, 2022

Do deep networks transfer invariances across classes?

Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Discriminator Augmented Model-Based Reinforcement Learning.

Behzad Haghgoo, Allan Zhou, Archit Sharma, Chelsea Finn

CoRR, 2021

Noether Networks: meta-learning useful conserved quantities.

Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Meta-learning Symmetries by Reparameterization.

Allan Zhou, Tom Knowles, Chelsea Finn

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards.

Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Watch, Try, Learn: Meta-Learning from Demonstrations and Reward.

Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn

CoRR, 2019

2018

Cost Functions for Robot Motion Style.

Allan Zhou, Anca D. Dragan

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Expressive Robot Motion Timing.

Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan

Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017