This is the official implementation of the Concept Discovery Models paper.
☆15Aug 27, 2023Updated 2 years ago
Alternatives and similar repositories for ConceptDiscoveryModels
Users that are interested in ConceptDiscoveryModels are comparing it to the libraries listed below
Sorting:
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆132Mar 31, 2024Updated last year
- Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"☆19Aug 14, 2023Updated 2 years ago
- CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification☆106May 28, 2024Updated last year
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆57Nov 3, 2024Updated last year
- Code for [Re] On the Reproducibility of Post-Hoc Concept Bottleneck Models.☆12Nov 27, 2024Updated last year
- ☆45Jun 2, 2025Updated 9 months ago
- Official code for the CVPR 2024 Paper "Can Biases in ImageNet Models Explain Generalization?".☆13Jun 24, 2024Updated last year
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12May 9, 2023Updated 2 years ago
- Improved image classification using a modified LIME framework, enabling user-driven hierarchical feature analysis through the integration…☆17Dec 9, 2025Updated 2 months ago
- ☆16Sep 19, 2024Updated last year
- [ICML 24] A novel automated neuron explanation framework that can accurately describe poly-semantic concepts in deep neural networks☆14May 2, 2025Updated 10 months ago
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆43Oct 27, 2023Updated 2 years ago
- Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)☆21Oct 11, 2021Updated 4 years ago
- The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformab…☆51Dec 3, 2024Updated last year
- ☆29Mar 1, 2024Updated 2 years ago
- [ICLR 25] A novel framework for building intrinsically interpretable LLMs with human-understandable concepts to ensure safety, reliabilit…☆31Feb 5, 2026Updated last month
- Official repo for ICML25 paper: DCBM: Data-Efficient Visual Concept Bottleneck Models☆27Sep 16, 2025Updated 5 months ago
- ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)☆26May 15, 2022Updated 3 years ago
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆24Feb 15, 2023Updated 3 years ago
- Official implementation for "Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning"☆12Jun 20, 2025Updated 8 months ago
- ☆35Feb 5, 2024Updated 2 years ago
- The official github repo for the open online courses: "Dive into LLMs".☆10Mar 15, 2024Updated last year
- Official implementation of "Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models"☆14Mar 19, 2025Updated 11 months ago
- [MICCAI 2023] Official implementation of our MICCAI 2023 paper "Pick the Best Pre-trained Model: Towards Transferability Estimation for M…☆13Jul 27, 2023Updated 2 years ago
- ☆11Feb 28, 2024Updated 2 years ago
- Detect wildfires using ML on images from cameras on vantage points☆11Oct 16, 2024Updated last year
- PyTorch Implementation of the paper "Defining and Quantifying the Emergence of Sparse Concepts in DNNs" (CVPR 2023)☆12Dec 24, 2023Updated 2 years ago
- Official repository for 'Risk of Bias in Chest Radiography Deep Learning Foundation Models'☆12Sep 27, 2023Updated 2 years ago
- [ICCV2025] Constructing Ophthalmic MLLM for Positioning-diagnosis Collaboration Through Clinical Cognitive Chain Reasoning☆23Nov 13, 2025Updated 3 months ago
- DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactu…☆10Oct 9, 2024Updated last year
- The official PyTorch implementation of the Iterated Integrated Attributions (IIA) method.☆10Jan 23, 2024Updated 2 years ago
- ☆16Apr 1, 2025Updated 11 months ago
- Implementation of the spotlight: a method for discovering systematic errors in deep learning models☆11Oct 5, 2021Updated 4 years ago
- ☆18Aug 7, 2025Updated 6 months ago
- ☆13Mar 15, 2024Updated last year
- [MICCAI‘25 Early Accept] MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment☆17Feb 27, 2026Updated last week
- A list of papers about concept bottleneck models (CBMs)☆18Nov 12, 2025Updated 3 months ago
- ☆13Jul 22, 2022Updated 3 years ago
- Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective☆11Nov 16, 2022Updated 3 years ago