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2020 – today
- 2023
[c2]James B. Simon, Maksis Knutins, Ziyin Liu, Daniel Geisz, Abraham J. Fetterman, Joshua Albrecht:
On the Stepwise Nature of Self-Supervised Learning. ICML 2023: 31852-31876- [i4]James B. Simon, Maksis Knutins, Ziyin Liu, Daniel Geisz, Abraham J. Fetterman, Joshua Albrecht:
On the stepwise nature of self-supervised learning. CoRR abs/2303.15438 (2023) - [i3]Abraham J. Fetterman, Ellie Kitanidis, Joshua Albrecht, Zachary Polizzi, Bryden Fogelman, Maksis Knutins, Bartosz Wróblewski, James B. Simon, Kanjun Qiu:
Tune As You Scale: Hyperparameter Optimization For Compute Efficient Training. CoRR abs/2306.08055 (2023) - 2022
- [c1]Joshua Albrecht, Abraham J. Fetterman, Bryden Fogelman, Ellie Kitanidis, Bartosz Wróblewski, Nicole Seo, Michael Rosenthal, Maksis Knutins, Zack Polizzi, James Simon, Kanjun Qiu:
Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds. NeurIPS 2022 - [i2]Joshua Albrecht, Abraham J. Fetterman, Bryden Fogelman, Ellie Kitanidis, Bartosz Wróblewski, Nicole Seo, Michael Rosenthal, Maksis Knutins, Zachary Polizzi, James B. Simon, Kanjun Qiu:
Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds. CoRR abs/2210.13417 (2022) - [i1]Joshua Albrecht, Ellie Kitanidis, Abraham J. Fetterman:
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety. CoRR abs/2212.06295 (2022)
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