Abraham J. Fetterman

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 6

Top Topics

Human Decision Making

Comparative Analysis

Learning Problems

Top Venues

Publications

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 (2023)
James B. Simon, Maksis Knutins, Ziyin Liu, Daniel Geisz, Abraham J. Fetterman, Joshua Albrecht
On the stepwise nature of self-supervised learning. CoRR (2023)
James B. Simon, Maksis Knutins, Ziyin Liu, Daniel Geisz, Abraham J. Fetterman, Joshua Albrecht
On the Stepwise Nature of Self-Supervised Learning. ICML (2023)
Joshua Albrecht, Ellie Kitanidis, Abraham J. Fetterman
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety. CoRR (2022)
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)
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 (2022)