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