Concept Bottleneck Models, ICML 2020
☆260Feb 24, 2023Updated 3 years ago
Alternatives and similar repositories for ConceptBottleneck
Users that are interested in ConceptBottleneck are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆96May 20, 2024Updated 2 years ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆147Apr 7, 2026Updated 6 months ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆86Apr 5, 2026Updated 6 months ago
- CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification☆111May 28, 2024Updated 2 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Mar 25, 2022Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"☆19Aug 14, 2023Updated 3 years ago
- Towards Automatic Concept-based Explanations☆166May 1, 2024Updated 2 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆57Aug 17, 2022Updated 4 years ago
- Overlooked Factors in Concept-based Explanations: Dataset Choice, Concept Learnability, and Human Capability (CVPR 2023)☆10Mar 14, 2023Updated 3 years ago
- ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations☆24May 1, 2025Updated last year
- CME: Concept-based Model Extraction☆13Nov 24, 2020Updated 5 years ago
- Code for the TCAV ML interpretability project☆654Jul 22, 2026Updated 2 months ago
- [MICCAI 2023, top 14%] Official repository of paper: Distilling BlackBox to Interpretable models for Efficient Transfer Learning☆18Aug 2, 2025Updated last year
- ☆18Sep 19, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆45Oct 27, 2023Updated 2 years ago
- The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformab…☆54Dec 3, 2024Updated last year
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…☆423May 11, 2022Updated 4 years ago
- Code for "Interpretable Image Recognition with Hierarchical Prototypes"☆19Nov 1, 2019Updated 6 years ago
- Integrating Clinical Knowledge into Concept Bottleneck Models (MICCAI2024)☆15Sep 12, 2024Updated 2 years ago
- Self-Explaining Neural Networks☆14Jul 22, 2023Updated 3 years ago
- ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)☆27May 15, 2022Updated 4 years ago
- Code for "Are “Hierarchical” Visual Representations Hierarchical?" in NeurIPS Workshop for Symmetry and Geometry in Neural Representation…☆23Nov 8, 2023Updated 2 years ago
- ☆124Mar 15, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs☆65Nov 6, 2023Updated 2 years ago
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆60Nov 3, 2024Updated last year
- [NAACL 2024] Part-based, explainable and editable fine-grained image classifier that allows users to define a species in text☆14Sep 19, 2025Updated last year
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆16Jun 11, 2020Updated 6 years ago
- A comprehensive survey of Concept Bottleneck Models (CBM)☆71Jan 20, 2026Updated 8 months ago
- ☆35Jun 22, 2021Updated 5 years ago
- Explaining Image Classifiers by Counterfactual Generation☆27Apr 23, 2022Updated 4 years ago
- Code for the paper "Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis", IEEE CVPRW 2023.☆19Dec 13, 2024Updated last year
- Official implementation for "Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning"☆12Jun 20, 2025Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- This is an implementation of the paper "Are We Done with Object-Centric Learning?"☆14Jun 21, 2026Updated 3 months ago
- [NeurIPS 24] A new training and evaluation framework for learning interpretable deep vision models and benchmarking different interpretab…☆36Jun 5, 2025Updated last year
- PyC (Pytorch Concepts) is a PyTorch-based library for designing concept-based interpretable deep learning models.☆159Sep 29, 2026Updated last week
- HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)☆22Jan 19, 2023Updated 3 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆41Sep 17, 2025Updated last year
- Code for Sufficient Input Subsets Paper☆14Mar 8, 2019Updated 7 years ago
- PyTorch Explain: Interpretable Deep Learning in Python.☆175May 16, 2024Updated 2 years ago