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2020 – today
- 2024
[c13]Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano:
Neural Processing of Tri-Plane Hybrid Neural Fields. ICLR 2024- [c12]Lirui Wang, Kaiqing Zhang, Allan Zhou, Max Simchowitz, Russ Tedrake:
Robot Fleet Learning via Policy Merging. ICLR 2024 - [i19]Caroline Choi, Yoonho Lee, Annie S. Chen, Allan Zhou, Aditi Raghunathan, Chelsea Finn:
AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data. CoRR abs/2401.10220 (2024) - [i18]Allan Zhou, Chelsea Finn, James Harrison:
Universal Neural Functionals. CoRR abs/2402.05232 (2024) - 2023
- [j1]Xinyu Yang, Huaxiu Yao, Allan Zhou, Chelsea Finn:
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations. Trans. Mach. Learn. Res. 2023 (2023) - [c11]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: 17907-17917 - [c10]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: 5433-5442 - [c9]Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn:
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning. ICML 2023: 21997-22008 - [c8]Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Permutation Equivariant Neural Functionals. NeurIPS 2023 - [c7]Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Neural Functional Transformers. NeurIPS 2023 - [i17]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 abs/2301.08556 (2023) - [i16]Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Permutation Equivariant Neural Functionals. CoRR abs/2302.14040 (2023) - [i15]Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Neural Functional Transformers. CoRR abs/2305.13546 (2023) - [i14]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 abs/2305.14975 (2023) - [i13]Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn:
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning. CoRR abs/2306.08400 (2023) - [i12]Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano:
Neural Processing of Tri-Plane Hybrid Neural Fields. CoRR abs/2310.01140 (2023) - [i11]Lirui Wang, Kaiqing Zhang, Allan Zhou, Max Simchowitz, Russ Tedrake:
Fleet Policy Learning via Weight Merging and An Application to Robotic Tool-Use. CoRR abs/2310.01362 (2023) - 2022
- [c6]Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn:
Do deep networks transfer invariances across classes? ICLR 2022 - [i10]Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran:
Policy Architectures for Compositional Generalization in Control. CoRR abs/2203.05960 (2022) - [i9]Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn:
Do Deep Networks Transfer Invariances Across Classes? CoRR abs/2203.09739 (2022) - [i8]Huaxiu Yao, Xinyu Yang, Allan Zhou, Chelsea Finn:
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations. CoRR abs/2210.14358 (2022) - [i7]Allan Zhou, Nicholas C. Landolfi, Daniel C. O'Neill:
Unsupervised language models for disease variant prediction. CoRR abs/2212.03979 (2022) - 2021
- [c5]Allan Zhou, Tom Knowles, Chelsea Finn:
Meta-learning Symmetries by Reparameterization. ICLR 2021 - [c4]Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn:
Noether Networks: meta-learning useful conserved quantities. NeurIPS 2021: 16384-16397 - [i6]Behzad Haghgoo, Allan Zhou, Archit Sharma, Chelsea Finn:
Discriminator Augmented Model-Based Reinforcement Learning. CoRR abs/2103.12999 (2021) - [i5]Ferran Alet, Dylan Doblar, Allan Zhou, Joshua B. Tenenbaum, Kenji Kawaguchi, Chelsea Finn:
Noether Networks: Meta-Learning Useful Conserved Quantities. CoRR abs/2112.03321 (2021) - 2020
- [c3]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 - [i4]Allan Zhou, Tom Knowles, Chelsea Finn:
Meta-Learning Symmetries by Reparameterization. CoRR abs/2007.02933 (2020)
2010 – 2019
- 2019
- [i3]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 abs/1906.03352 (2019) - 2018
- [c2]Allan Zhou, Anca D. Dragan:
Cost Functions for Robot Motion Style. IROS 2018: 3632-3639 - [i2]Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan:
Expressive Robot Motion Timing. CoRR abs/1802.01536 (2018) - [i1]Allan Zhou, Anca D. Dragan:
Cost Functions for Robot Motion Style. CoRR abs/1809.00092 (2018) - 2017
- [c1]Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan:
Expressive Robot Motion Timing. HRI 2017: 22-31
Coauthor Index
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last updated on 2024-08-08 20:16 CEST by the dblp team
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