Awesome collection of all Concept Based Models

✨ Curated collection of papers and resources on latest advances of Concept based models. ✨

🗂️ Table of Contents

1. 📖 CBM Framework Papers
• 👨‍⚕️ CBMs
• 🤖 VLM-CBMs
2. 🔬 Discussions and Analysis Papers
3. 📖 Awesome Surveys
4. 🛠️ Awesome Workshops & Talks
5. 📊 Awesome Metrics & Benchmarks
6. 💾 Awesome Datasets
7. 👩‍🏫 Awesome Research Groups

🚧🚧🚧 THIS IS UNDER CONSTRUCTION🚧🚧🚧

Do not hesitate to submit a pull request if you want to add a reference or any correction!

📖 CBM Frameworks

CBMs

Standard CBM framework where the data is annotated by a human expert.

Title	Venue	Date	Code
Interpretable Reward Modeling with Active Concept Bottlenecks	ICML	2025	Github
Coarse-to-fine concept bottleneck models	NIPS	2024	Github
Stochastic Concept Bottleneck Models	NIPS	2024	Github
Contrastive pretraining for visual concept explanations of socioeconomic outcomes	CVPR	2024	Github
TREE-BASED LEAKAGE INSPECTION AND CONTROL IN CONCEPT BOTTLENECK MODELS	-	2024	Github
Concept-level Debugging of Part-Prototype Networks	ICLR	2023	Github
Probabilistic Concept Bottleneck Models	ICML	2023	Github
Interpretable neural-symbolic concept reasoning	ICML	2023	Github
Logic explained networks	AI Elsevier	2023	Github
Learning Bottleneck Concepts in Image Classification	CVPR	2023	Github
Sparse linear concept discovery models	ICCV-CLVL	2023	Github
Interactive Concept Bottleneck Models	AAAI	2023	-
Addressing leakage in concept bottleneck models	NeurIPS	2022	Github
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off	NeurIPS	2022	Github
GlanceNets: Interpretabile, Leak-proof Concept-based Models	NeurIPS	2022	Github
Concept Bottleneck Model with Additional Unsupervised Concepts	IEEE	2022	-
Interpretable Image Classification with Differentiable Prototypes Assignment	ECCV	2022	Github
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes	CVPR	2022	Github
A Framework for Learning Ante-hoc Explainable Models via Concepts	CVPR	2022	-
Post-hoc Concept Bottleneck Models	ICLR	2022	Github
Entropy-based Logic Explanations of Neural Networks	AAAI	2022	Github
Attention-based interpretability with concept transformers	ICLR	2021	Github
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers	-	2021	Github
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery	ACM KDD	2021	Github
Concept Bottleneck Model	ICML	2020	Github
Concept Whitening for Interpretable Image Recognition	Nature MI	2020	Github
Now you see me (cme): concept-based model extraction	-	2020	Github
This Looks Like That: Deep Learning for Interpretable Image Recognition	NIPS	2019	Github
Interpretable Image Recognition with Hierarchical Prototypes	AAAI	2019	Github
Towards Robust Interpretability with Self-Explaining Neural Networks	NIPS	2018	Github
Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions	AAAI	2018	Github
			Github

🤖 VLM-CBMs

The framework combines a Visual-Language model to generate concept annotations.

Title	Venue	Date	Code
Improving ARDS Diagnosis Through Context-Aware Concept Bottleneck Models			Github
Locality-aware Concept Bottleneck Model			Github
DCBM: Data-Efficient Visual Concept Bottleneck Models	ICML	2025	Github
Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery	ECCV	2024	Github
Incremental Residual Concept Bottleneck Models	CVPR	2024	Github
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance	NeurIPS	2024	Github
CLIP-QDA: An Explainable Concept Bottleneck Model	TMLR	2024	-
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis	MICCAI	2024	Github
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification	CVPR	2023	Github
Label Free Concept Bottleneck Models	ICLR	2023	Github
			Github

🔬 Discussions and Analysis

Title	Focus	Venue	Date	Code
Enhancing Concept Localization in CLIP-based Concept Bottleneck Models	Entanglement	-	2025	-
SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions	Generalization	ICCV	2025	Github
Measuring Leakage In Concept-Based Methods: An Information Theoretic Approach	Leakage	ICLR	2025	-
If Concept Bottlenecks are the Question, are Foundation Models the Answer?	Concept Quality		2025	Github
Concept Correlation and Its Effects on Concept-Based Models	Entanglement	WACV	2023	-
Overlooked Factors in Concept-based Explanations: Dataset Choice, Concept Learnability, and Human Capability	Interpretability	CVPR	2023	Github
A closer look at the intervention procedure of concept bottleneck models	Interventions	ICML	2023	Github
IS DISENTANGLEMENT ALL YOU NEED? COMPARING CONCEPT-BASED & DISENTANGLEMENT APPROACHES	Entanglement	ICLR	2021	Github
Do Concept Bottleneck Models learn as intended	Alignment	ICLR	2021	-
Promises and Pitfalls of Black-Box Concept Learning Models	Entanglement, Leakage	-	2021	-
ON COMPLETENESS-AWARE CONCEPT-BASED EXPLANATIONS IN DEEP NEURAL NETWORKS	Completeness	NeurIPS	2020	Github

📖 Awesome Surveys

Survey on Concept Based Models

• Concept-based Explainable Artificial Intelligence: A Survey 2023
• A Comprehensive Survey on Self-Interpretable Neural Networks 2025

🛠️ Awesome Workshops & Talks

📊 Awesome Metrics & Benchmarks

💾 Awesome Datasets

• SUB

👩‍🏫 Awesome Research Groups