interpretability-and-explainability topic

MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

HennyJie

Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)

Wuyxin

Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks."

WanyuGroup

[KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"

liugangcode

[ICCV 2023] Learning Support and Trivial Prototypes for Interpretable Image Classification

cwangrun

This repository collects all relevant resources about interpretability in LLMs

ruizheliUOA