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[CVPR 2025] Hybrid Concept Bottleneck Models
Revisiting Discover-then-Name Concept Bottleneck Models: A Reproducibility Study
Limitation in Concept Bottleneck Models - Residuals and Vector Disentanglement | Konghao Zhao
XAI : Explainable by Design — Concept-Bottleneck Models for Trustworthy Credit Scoring
There Was Never a Bottleneck in Concept Bottleneck Models (Antonio Almudévar)
Bayesian Concept Bottleneck Models with LLM Priors (Jean Feng)
Learning Bottleneck Concepts in Image Classification
Mixture of Concept Bottleneck Experts (Francesco De Santis) - Interpretable Deep Learning Seminars
Inherent Interpretability via Language Model Guided Bottleneck Design Mark Yatskar Source
9 Min Intro to Rashomon Slice for Concept Bottleneck Models (TMLR 2026)
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Last Updated: September 30, 2026
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arxiv.org/abs/2007.04612 Abstract: We seek to learn Addressing High-level Concepts Limitation in Happy to present our joint work on Interpretability published at ICML 2025. Authors: Katharina Prasse*, Patrick Knab*, Sascha ... This presentation was produced for ANA505 Assignment 4 at National University, course AI Optimization Topics. Interpretable Deep Learning Seminars Abstract Standard Paper: arxiv.org/abs/2304.10131 Code: github.com/wbw520/BotCL. ... experiment um and then we compare against some other kinds of um attempts at generalizing um