Virtual – Page 3 – SILO

Near-Optimal Bayesian Active Learning at Scale: Submodular Surrogates and Beyond

Yuxin Chen
University of Chicago

Scheduling with Speed Predictions

Cliff Stein
Colombia University

Understanding How Dimension Reduction Tools Work

Cynthia Rudin
Duke University

Transformer for Reinforcement Learning and Imitation Learning

NOTE TIME AND LOCATION
Kimin Lee
Google Research

Beyond the standard benchmarks: on the importance of robust models and where to fine them

Jong Wook Kim
Open AI

Learning to see in the wild. Should SSL be truly unsupervised?

Pedro Morgado
University of Wisconsin–Madison

Modeling the diverse geometry of insect wings

Chris Rycroft
University of Wisconsin–Madison

End-to-end algorithm synthesis with “thinking” networks

Tom Goldstein
University of Maryland

Neural Collapse in Deep Net Training

XY Han
Cornell

Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning

Peter Stone
University of Texas at Austin