Allan Zhou - RankMe

37 papers A* 14A 1Journal 22

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws. ICLR Yiding Jiang, Allan Zhou, Zhili Feng, Sadhika Malladi, J. Zico Kolter
2024	J	`jnl`	Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws. CoRR Yiding Jiang, Allan Zhou, Zhili Feng, Sadhika Malladi, J. Zico Kolter
2024	J	`jnl`	AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data. CoRR Caroline Choi, Yoonho Lee, Annie S. Chen, Allan Zhou, Aditi Raghunathan, Chelsea Finn
2024	A*	`conf`	Neural Processing of Tri-Plane Hybrid Neural Fields. ICLR Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano
2024	J	`jnl`	Policy Architectures for Compositional Generalization in Control. RLJ Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran
2024	A*	`conf`	Robot Fleet Learning via Policy Merging. ICLR Lirui Wang, Kaiqing Zhang, Allan Zhou, Max Simchowitz, Russ Tedrake
2024	A*	`conf`	Universal Neural Functionals. NeurIPS Allan Zhou, Chelsea Finn, James Harrison
2024	J	`jnl`	Universal Neural Functionals. CoRR Allan Zhou, Chelsea Finn, James Harrison
2023	J	`jnl`	Fleet Policy Learning via Weight Merging and An Application to Robotic Tool-Use. CoRR Lirui Wang, Kaiqing Zhang, Allan Zhou, Max Simchowitz, Russ Tedrake
2023	A*	`conf`	Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback. EMNLP Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning
2023	J	`jnl`	Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback. CoRR Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning
2023	J	`jnl`	Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations. Trans. Mach. Learn. Res. Xinyu Yang, Huaxiu Yao, Allan Zhou, Chelsea Finn
2023	A*	`conf`	NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis. CVPR Allan Zhou, Moo Jin Kim, Lirui Wang, Pete Florence, Chelsea Finn
2023	J	`jnl`	NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis. CoRR Allan Zhou, Moo Jin Kim, Lirui Wang, Pete Florence, Chelsea Finn
2023	A*	`conf`	Neural Functional Transformers. NeurIPS Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
2023	J	`jnl`	Neural Functional Transformers. CoRR Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
2023	J	`jnl`	Neural Processing of Tri-Plane Hybrid Neural Fields. CoRR Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano
2023	A*	`conf`	Permutation Equivariant Neural Functionals. NeurIPS Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn
2023	J	`jnl`	Permutation Equivariant Neural Functionals. CoRR Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn
2023	A*	`conf`	Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning. ICML Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn
2023	J	`jnl`	Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning. CoRR Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn
2022	J	`jnl`	Do Deep Networks Transfer Invariances Across Classes? CoRR Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn
2022	A*	`conf`	Do deep networks transfer invariances across classes? ICLR Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn
2022	J	`jnl`	Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations. CoRR Huaxiu Yao, Xinyu Yang, Allan Zhou, Chelsea Finn
2022	J	`jnl`	Policy Architectures for Compositional Generalization in Control. CoRR Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran
2022	J	`jnl`	Unsupervised language models for disease variant prediction. CoRR Allan Zhou, Nicholas C. Landolfi, Daniel C. O'Neill
2021	J	`jnl`	Discriminator Augmented Model-Based Reinforcement Learning. CoRR Behzad Haghgoo, Allan Zhou, Archit Sharma, Chelsea Finn
2021	A*	`conf`	Meta-learning Symmetries by Reparameterization. ICLR Allan Zhou, Tom Knowles, Chelsea Finn
2021	J	`jnl`	Noether Networks: Meta-Learning Useful Conserved Quantities. CoRR Ferran Alet, Dylan Doblar, Allan Zhou, Joshua B. Tenenbaum, Kenji Kawaguchi, Chelsea Finn
2021	A*	`conf`	Noether Networks: meta-learning useful conserved quantities. NeurIPS Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn
2020	J	`jnl`	Meta-Learning Symmetries by Reparameterization. CoRR Allan Zhou, Tom Knowles, Chelsea Finn
2020	A*	`conf`	Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards. ICLR Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn
2019	J	`jnl`	Watch, Try, Learn: Meta-Learning from Demonstrations and Reward. CoRR Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn
2018	A	`conf`	Cost Functions for Robot Motion Style. IROS Allan Zhou, Anca D. Dragan
2018	J	`jnl`	Cost Functions for Robot Motion Style. CoRR Allan Zhou, Anca D. Dragan
2018	J	`jnl`	Expressive Robot Motion Timing. CoRR Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan
2017	A*	`conf`	Expressive Robot Motion Timing. HRI Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan