|
Workshop
|
|
Bridging the Gap: From Post Hoc Explanations to Inherently Interpretable Models for Medical Imaging
Shantanu Ghosh · Ke Yu · Forough Arabshahi · Kayhan Batmanghelich
|
|
|
Workshop
|
Sat 13:30
|
Himabindu Lakkaraju - Regulating Explainable AI: Technical Challenges and Opportunities
Hima Lakkaraju
|
|
|
Poster
|
Wed 14:00
|
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching
Fang Wu · Siyuan Li · Xurui Jin · Yinghui Jiang · Dragomir Radev · Zhangming Niu · Stan Z Li
|
|
|
Workshop
|
Fri 18:20
|
Invited talk: Dr. Judy Gichoya - Titie: Harnessing the ability of AI models to detect hidden signals - how can we explain these findings?
|
|
|
Workshop
|
|
Is Task-Agnostic Explainable AI a Myth?
Alicja Chaszczewicz
|
|
|
Workshop
|
|
Self-verification improves few-shot clinical information extraction
Zelalem Gero · Chandan Singh · Hao Cheng · Tristan Naumann · Michel Galley · Jianfeng Gao · Hoifung Poon
|
|
|
Workshop
|
|
Is Task-Agnostic Explainable AI a Myth?
Alicja Chaszczewicz
|
|
|
Workshop
|
|
Generalizing Neural Additive Models via Statistical Multimodal Analysis
Young Kyung Kim · Juan Di Martino · Guillermo Sapiro
|
|
|
Workshop
|
|
Prospectors: Leveraging Short Contexts to Mine Salient Objects in High-dimensional Imagery
Gautam Machiraju · Arjun Desai · James Zou · Christopher Re · Parag Mallick
|
|
|
Workshop
|
|
Exploring the Existence of Atmospheric Blocking’s Precursor Patterns with Physics-Informed Explainable AI
Anh Nhu · Lei Wang
|
|
|
Workshop
|
|
Understanding the Size of the Feature Importance Disagreement Problem in Real-World Data
Aniek Markus · Egill Fridgeirsson · Jan Kors · Katia Verhamme · Jenna Reps · Peter Rijnbeek
|
|
|
Poster
|
Wed 14:00
|
When does Privileged information Explain Away Label Noise?
Guillermo Ortiz Jimenez · Mark Collier · Anant Nawalgaria · Alexander D'Amour · Jesse Berent · Rodolphe Jenatton · Efi Kokiopoulou
|
|
