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Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.

R. Zheng, Y. Liang, X. Wang, S. Ma, H. III, H. Xu, J. Langford, P. Palanisamy, K. Basu, and F. Huang. CoRR, (2024)

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Furong Huang

Furong Tian

Feiqing Huang

Zhida Huang

Haowei Huang

Other publications of authors with the same name

Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation.Y. Yang, X. Liu, Q. Jin, F. Huang, and Z. Lu. CoRR, (2024)Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy.X. Wang, W. Wongkamjan, and F. Huang. CoRR, (2022)Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework.J. Su, W. Byeon, and F. Huang. CoRR, (2021)Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL.Y. Sun, R. Zheng, Y. Liang, and F. Huang. CoRR, (2021)TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning.R. Zheng, X. Wang, Y. Sun, S. Ma, J. Zhao, H. Xu, H. III, and F. Huang. CoRR, (2023)Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks.H. Zeng, C. Zhu, T. Goldstein, and F. Huang. CoRR, (2020)Decodable and Sample Invariant Continuous Object Encoder.D. Yuan, F. Huang, C. Fermüller, and Y. Aloimonos. CoRR, (2023)conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks.T. Rabbani, J. Su, X. Liu, D. Chan, G. Sangston, and F. Huang. CoRR, (2024)End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking.A. Bansal, A. Schwarzschild, E. Borgnia, Z. Emam, F. Huang, M. Goldblum, and T. Goldstein. CoRR, (2022)Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching.T. Rabbani, B. Feng, Y. Yang, A. Rajkumar, A. Varshney, and F. Huang. CoRR, (2021)

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Disambiguation of "Huang, Furong"

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URL
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Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.

Please choose a person to relate this publication to

Furong Huang

Furong Tian

Feiqing Huang

Zhida Huang

Haowei Huang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Huang, Furong"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.

Please choose a person to relate this publication to

Furong Huang

Furong Tian

Feiqing Huang

Zhida Huang

Haowei Huang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.