Obserwuj
Annie S. Chen
Annie S. Chen
Stanford University
Zweryfikowany adres z stanford.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
52142021
Just train twice: Improving group robustness without training group information
EZ Liu*, B Haghgoo*, AS Chen*, A Raghunathan, PW Koh, S Sagawa, ...
International Conference on Machine Learning, 6781-6792, 2021
5802021
Surgical fine-tuning improves adaptation to distribution shifts
Y Lee*, AS Chen*, F Tajwar, A Kumar, H Yao, P Liang, C Finn
arXiv preprint arXiv:2210.11466, 2022
2152022
Language-driven representation learning for robotics
S Karamcheti, S Nair, AS Chen, T Kollar, C Finn, D Sadigh, P Liang
arXiv preprint arXiv:2302.12766, 2023
1352023
Learning generalizable robotic reward functions from" in-the-wild" human videos
AS Chen, S Nair, C Finn
Robotics: Science and Systems (RSS), 2021
135*2021
On the opportunities and risks of foundation models (2022)
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 0
29
You Only Live Once: Single-Life Reinforcement Learning
AS Chen, A Sharma, S Levine, C Finn
Neural Information Processing Systems (NeurIPS), 2022
262022
Batch exploration with examples for scalable robotic reinforcement learning
AS Chen*, HJ Nam*, S Nair*, C Finn
IEEE Robotics and Automation Letters 6 (3), 4401-4408, 2021
252021
On the opportunities and risks of foundation models. arXiv [Preprint](2021)
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
21
& Liang, P.(2021)
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
On the opportunities and risks of foundation models, 0
17
On the opportunities and risks of foundation models. doi: 10.48550
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint ARXIV.2108.07258, 2021
162021
On the opportunities and risks of foundation models. CoRR abs/2108.07258 (2021)
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
URL: https://arxiv. org/abs/2108.07258, 2021
162021
On the opportunities and risks of foundation models, July 2022
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
URL http://arxiv. org/abs/2108.07258, 0
14
Project and probe: Sample-efficient adaptation by interpolating orthogonal features
AS Chen, Y Lee, A Setlur, S Levine, C Finn
The Twelfth International Conference on Learning Representations, 2023
13*2023
Commonsense reasoning for legged robot adaptation with vision-language models
AS Chen, AM Lessing, A Tang, G Chada, L Smith, S Levine, C Finn
arXiv preprint arXiv:2407.02666, 2024
122024
Index Divisibility in Dynamical Sequences and Cyclic Orbits Modulo
AS Chen, TA Gassert, KE Stange
New York Journal of Mathematics 23, 1045–1063, 2017
112017
On the opportunities and risks of foundation models [arXiv [cs. LG]]. 2021
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
11
Rlvf: Learning from verbal feedback without overgeneralization
M Stephan, A Khazatsky, E Mitchell, AS Chen, S Hsu, A Sharma, C Finn
arXiv preprint arXiv:2402.10893, 2024
102024
On the opportunities and risks of foundation models. CoRR abs/2108.07258
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
102021
On the opportunities and risks of foundation models. arXiv. 10.48550
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv.2108.07258, 2021
102021
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