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Stanford AI Lab Papers and Talks at RSS 2023

Compiled by Drew A. Hudson

All the great work from the Stanford AI Lab accepted at RSS 2023, all in one place.

Stanford AI Lab Papers and Talks at ACL 2023

Compiled by Drew A. Hudson

All the great work from the Stanford AI Lab accepted at ACL 2023, all in one place.

Self-Improving Robots: Embracing Autonomy in Robot Learning

Archit Sharma

Learning methods for robotics have a data problem. Autonomous robotic systems can deliver orders of magnitude more real-world embodied data than we have.

Stanford AI Lab Papers and Talks at CVPR 2023

Compiled by Drew A. Hudson

All the great work from the Stanford AI Lab accepted at CVPR 2023, all in one place.

Stanford AI Lab Papers and Talks at ICLR 2023

Compiled by Drew A. Hudson

All the great work from the Stanford AI Lab accepted at ICLR 2023, all in one place.

From Discrimination in Machine Learning to Discrimination in Law, Part 2: Disparate Impact

Fereshte Khani, Percy Liang

We discuss disparate impact, a type of discrimination in which a policy that appears neutral disproportionately impacts a protected group without any business reason. We outline the steps for proving disparate impact in a legal setting and its analogy to machine learning. We concluded with real c...