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Poster
Mon 17:00 Optimal Regularization can Mitigate Double Descent
Preetum Nakkiran · Prayaag Venkat · Sham M Kakade · Tengyu Ma
Workshop
Fri 5:55 The Role of Mathematical Reasoning in General Artificial Intelligence
Yuhuai Wu · Kshitij Bansal · Wenda Li · Melanie Mitchell · David McAllester · John Harrison
Poster
Mon 9:00 Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
Joshua Chang · Patrick A Fletcher · Jungmin Han · Ted Chang · Shashaank Vattikuti · Bart Desmet · Ayah Zirikly · Carson Chow
Poster
Tue 1:00 Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize
Nils Wandel · Michael Weinmann · Reinhard Klein
Poster
Thu 17:00 Contrastive Syn-to-Real Generalization
Wuyang Chen · Zhiding Yu · Shalini De Mello · Sifei Liu · Jose M. Alvarez · Zhangyang Wang · Anima Anandkumar
Poster
Tue 1:00 Class Normalization for (Continual)? Generalized Zero-Shot Learning
Ivan Skorokhodov · Mohamed Elhoseiny
Poster
Tue 17:00 Knowledge Distillation as Semiparametric Inference
Tri Dao · Govinda Kamath · Vasilis Syrgkanis · Lester Mackey
Poster
Wed 17:00 A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
Renjie Liao · Raquel Urtasun · Richard Zemel
Poster
Tue 1:00 Generalized Energy Based Models
Michael Arbel · Liang Zhou · Arthur Gretton
Poster
Thu 17:00 Generalization bounds via distillation
Daniel Hsu · Ziwei Ji · Matus Telgarsky · Lan Wang
Poster
Wed 9:00 Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
Robert Csordas · Sjoerd van Steenkiste · Jürgen Schmidhuber
Poster
Thu 17:00 A Learning Theoretic Perspective on Local Explainability
Jeffrey Li · Vaishnavh Nagarajan · Gregory Plumb · Ameet Talwalkar