Poster

Thu 2:30

On the Pitfalls of Analyzing Individual Neurons in Language Models
Omer Antverg · Yonatan Belinkov

Workshop

Fri 8:05

Explainable, Interpretable, and Trustworthy AI for the Earth Sciences
Amy McGovern

Poster

Mon 10:30

Salient ImageNet: How to discover spurious features in Deep Learning?
Sahil Singla · Soheil Feizi

Poster

Mon 10:30

Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis
Siyi Tang · Jared Dunnmon · Khaled Saab · Xuan Zhang · Qianying Huang · Florian Dubost · Daniel Rubin · Christopher Lee-Messer

Workshop

Fri 12:00

Testing Interpretability Techniques for Deep Statistical Climate Downscaling
Jose González-Abad · Jorge Baño-Medina · José Manuel Gutiérrez

Spotlight

Thu 10:30

Explanations of Black-Box Models based on Directional Feature Interactions
Aria Masoomi · Davin Hill · Zhonghui Xu · Craig Hersh · Edwin Silverman · Peter Castaldi · Stratis Ioannidis · Jennifer Dy

Spotlight

Tue 10:30

POETREE: Interpretable Policy Learning with Adaptive Decision Trees
Alizée Pace · Alex Chan · Mihaela van der Schaar

Workshop

Fri 14:50

An interpretable machine learning model for advancing terrestrial ecosystem predictions
Dan Lu · Daniel Ricciuto · Siyan Liu

Workshop

Fri 11:35

Interpretable Unsupervised Learning with Pattern Discovery & Disentanglement (PDD)
Peiyuan Zhou

Poster

Thu 2:30

Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation
Julius Adebayo · Michael Muelly · Harold Abelson · Been Kim

Poster

Mon 10:30

Toward Faithful Case-based Reasoning through Learning Prototypes in a Nearest Neighbor-friendly Space.
Seyed Omid Davoudi · Majid Komeili

Poster

Tue 10:30

Selective Ensembles for Consistent Predictions
Emily Black · Klas Leino · Matt Fredrikson