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Workshop
Bounded logit attention: Learning to explain image classifiers
Thomas Baumhauer · Djordje Slijepcevic · Matthias Zeppelzauer
Poster
Tue 9:00 Self-explaining deep models with logic rule reasoning
Seungeon Lee · Xiting Wang · Sungwon Han · Xiaoyuan Yi · Xing Xie · Meeyoung Cha
Poster
Wed 9:00 Self-Explaining Deviations for Coordination
Hengyuan Hu · Samuel Sokota · David Wu · Anton Bakhtin · Andrei Lupu · Brandon Cui · Jakob Foerster
Poster
Thu 14:00 ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model
Srishti Gautam · Ahcène Boubekki · Stine Hansen · Suaiba Salahuddin · Robert Jenssen · Marina Höhne · Michael Kampffmeyer
Workshop
COIN: Co-Cluster Infomax for Bipartite Graphs
Baoyu Jing · Yuchen Yan · Yada Zhu · Hanghang Tong
Workshop
Targeted Adversarial Self-Supervised Learning
Minseon Kim · Hyeonjeong Ha · Sooel Son · Sung Ju Hwang
Poster
Tue 9:00 What You See is What You Classify: Black Box Attributions
Steven Stalder · Nathanael Perraudin · Radhakrishna Achanta · Fernando Perez-Cruz · Michele Volpi
Poster
Decoupled Self-supervised Learning for Graphs
Teng Xiao · Zhengyu Chen · Zhimeng Guo · Zeyang Zhuang · Suhang Wang
Workshop
STab: Self-supervised Learning for Tabular Data
Ehsan Hajiramezanali · Max Shen · Gabriele Scalia · Nathaniel Diamant
Affinity Workshop
Self Supervised Learning in Microscopy
Aastha Jhunjhunwala · Siddha Ganju
Poster
Wed 9:00 Visual Prompting via Image Inpainting
Amir Bar · Yossi Gandelsman · Trevor Darrell · Amir Globerson · Alexei Efros
Poster
Tue 14:00 Evaluating Graph Generative Models with Contrastively Learned Features
Hamed Shirzad · Kaveh Hassani · Danica J. Sutherland