Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings

no code implementations • 23 Feb 2024 • Rajeev V. Rikhye, Aaron Loh, Grace Eunhae Hong, Preeti Singh, Margaret Ann Smith, Vijaytha Muralidharan, Doris Wong, Rory Sayres, Michelle Phung, Nicolas Betancourt, Bradley Fong, Rachna Sahasrabudhe, Khoban Nasim, Alec Eschholz, Basil Mustafa, Jan Freyberg, Terry Spitz, Yossi Matias, Greg S. Corrado, Katherine Chou, Dale R. Webster, Peggy Bui, YuAn Liu, Yun Liu, Justin Ko, Steven Lin

Recently, there has been great progress in the ability of artificial intelligence (AI) algorithms to classify dermatological conditions from clinical photographs.

Planning with Goal-Conditioned Policies

1 code implementation • NeurIPS 2019 • Soroush Nasiriany, Vitchyr H. Pong, Steven Lin, Sergey Levine

Planning methods can solve temporally extended sequential decision making problems by composing simple behaviors.

Decision Making reinforcement-learning +3

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

2 code implementations • ICML 2020 • Vitchyr H. Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine

Autonomous agents that must exhibit flexible and broad capabilities will need to be equipped with large repertoires of skills.

reinforcement-learning Reinforcement Learning (RL) +1

Visual Reinforcement Learning with Imagined Goals

2 code implementations • NeurIPS 2018 • Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine

For an autonomous agent to fulfill a wide range of user-specified goals at test time, it must be able to learn broadly applicable and general-purpose skill repertoires.

reinforcement-learning Reinforcement Learning (RL) +1