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Spotlight
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou · Caiming Xiong · Xiaotong Yuan · Steven Chu Hong Hoi
Poster
Tue 16:30 A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou · Caiming Xiong · Xiaotong Yuan · Steven Chu Hong Hoi
Workshop
Tue 7:30 Philipp Grohs - The Theory-to-Practice Gap in Deep Learning
Philipp Grohs
Poster
Tue 8:30 Deep Neural Networks as Point Estimates for Deep Gaussian Processes
Vincent Dutordoir · James Hensman · Mark van der Wilk · Carl Henrik Ek · Zoubin Ghahramani · Nicolas Durrande
Oral Session
Tue 0:00 Oral Session 1: Deep Learning Theory and Causality
Poster
Tue 8:30 Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
Ming Yin · Yu-Xiang Wang
Poster
Tue 8:30 Interpolation can hurt robust generalization even when there is no noise
Konstantin Donhauser · Alexandru Tifrea · Michael Aerni · Reinhard Heckel · Fanny Yang
Poster
Wed 0:30 On Optimal Interpolation in Linear Regression
Eduard Oravkin · Patrick Rebeschini
Workshop
Mon 8:45 Collective Grounding: Relational Learning Meets Relational Theory
Eriq Augustine
Poster
Tue 16:30 PiRank: Scalable Learning To Rank via Differentiable Sorting
Robin Swezey · Aditya Grover · Bruno Charron · Stefano Ermon
Poster
Tue 16:30 Remember What You Want to Forget: Algorithms for Machine Unlearning
Ayush Sekhari · Jayadev Acharya · Gautam Kamath · Ananda Theertha Suresh
Poster
Tue 16:30 Reconstruction for Powerful Graph Representations
Leonardo Cotta · Christopher Morris · Bruno Ribeiro