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Poster
Tue 9:00 The Many Shapley Values for Model Explanation
Mukund Sundararajan · Amir Najmi
Poster
Wed 16:00 Feature-map-level Online Adversarial Knowledge Distillation
Inseop Chung · SeongUk Park · Jangho Kim · NOJUN KWAK
Poster
Thu 12:00 Soft Threshold Weight Reparameterization for Learnable Sparsity
Aditya Kusupati · Vivek Ramanujan · Raghav Somani · Mitchell Wortsman · Prateek Jain · Sham Kakade · Ali Farhadi
Workshop
Sat 5:45 Machine Learning for Global Health
Danielle Belgrave · Danielle Belgrave · Stephanie Hyland · Charles Onu · Nicholas Furnham · Ernest Mwebaze · Neil Lawrence
Poster
Thu 6:00 Performative Prediction
Juan Perdomo · Tijana Zrnic · Celestine Mendler-Dünner · Moritz Hardt
Tutorial
Mon 8:00 Bayesian Deep Learning and a Probabilistic Perspective of Model Construction
Andrew Wilson
Workshop
Thu 23:40 Graph Representation Learning and Beyond (GRL+)
Petar Veličković · Michael M. Bronstein · Andreea Deac · Will Hamilton · Jessica Hamrick · Milad Hashemi · Stefanie Jegelka · Jure Leskovec · Renjie Liao · Federico Monti · Yizhou Sun · Kevin Swersky · Rex (Zhitao) Ying · Marinka Zitnik
Poster
Tue 9:00 CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
Wei Zhang · Thomas Panum · Somesh Jha · Prasad Chalasani · David Page