Concept Bottleneck Models, ICML 2020
Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.
Concept bottleneck models for multiview data with incomplete concept sets
[MICCAI 2024] AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis
Semi-supervised Concept Bottleneck Models (SSCBM)
This project poses a new methodology for assessing and improving sequential concept bottleneck models (CBMs). The research undertaken in this project builds upon the model proposed by Grange et al., of which I was one of the co-authors.
Papers on CBMs with short descriptions of paper's content
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