[ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data
☆143Apr 7, 2026Updated 2 months ago
Alternatives and similar repositories for Label-free-CBM
Users that are interested in Label-free-CBM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is the official implementation of the Concept Discovery Models paper.☆15Aug 27, 2023Updated 2 years ago
- [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs☆62Nov 6, 2023Updated 2 years ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆94May 20, 2024Updated 2 years ago
- [NeurIPS 24] A new training and evaluation framework for learning interpretable deep vision models and benchmarking different interpretab…☆33Jun 5, 2025Updated last year
- CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification☆108May 28, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Concept Bottleneck Models, ICML 2020☆255Feb 24, 2023Updated 3 years ago
- Official implementation for "Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning"☆12Jun 20, 2025Updated 11 months ago
- Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"☆19Aug 14, 2023Updated 2 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆79Apr 5, 2026Updated 2 months ago
- ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations☆23May 1, 2025Updated last year
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆59Nov 3, 2024Updated last year
- Sparse Linear Concept Embeddings☆132Mar 27, 2025Updated last year
- The PyTorch implementation for "DEAL: Disentangle and Localize Concept-level Explanations for VLMs" (ECCV 2024 Strong Double Blind)☆20Mar 9, 2026Updated 3 months ago
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆15Jun 11, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [CVPR 2025] Official implementation of the paper "Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottle…☆19Jun 29, 2025Updated 11 months ago
- [ICLR 25] A novel framework for building intrinsically interpretable LLMs with human-understandable concepts to ensure safety, reliabilit…☆33Feb 5, 2026Updated 4 months ago
- A curated list of papers & resources linked to concept learning☆13Aug 9, 2023Updated 2 years ago
- [ICML 24] A novel automated neuron explanation framework that can accurately describe poly-semantic concepts in deep neural networks☆14May 2, 2025Updated last year
- (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation☆45Nov 17, 2025Updated 6 months ago
- [ICML 2023] Official implementation of "A Closer Look at the Intervention Procedure of Concept Bottleneck Models"☆28Feb 19, 2024Updated 2 years ago
- This is an implementation of the paper "Are We Done with Object-Centric Learning?"☆13Jun 8, 2026Updated last week
- A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data☆16Apr 17, 2025Updated last year
- Code for "Are “Hierarchical” Visual Representations Hierarchical?" in NeurIPS Workshop for Symmetry and Geometry in Neural Representation…☆23Nov 8, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- The official implementation of the paper **Learning Concise and Descriptive Attributes for Visual Recognition**☆49Dec 14, 2023Updated 2 years ago
- PyTorch Explain: Interpretable Deep Learning in Python.☆174May 16, 2024Updated 2 years ago
- Minimal, standalone library for solving GLMs in PyTorch☆27Nov 18, 2021Updated 4 years ago
- Official implementation of "Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic r…☆25Mar 22, 2026Updated 2 months ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆75Jul 20, 2023Updated 2 years ago
- This is the official repository for the paper titled "Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a M…☆16Apr 29, 2025Updated last year
- ☆176Dec 29, 2023Updated 2 years ago
- ☆18Mar 9, 2023Updated 3 years ago
- NeurIPS 2024 (spotlight): A Textbook Remedy for Domain Shifts Knowledge Priors for Medical Image Analysis☆31Oct 15, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Source code for the Nature Machine Intelligence paper: When and how convolutional neural networks generalize to out-of-distribution categ…☆24Feb 26, 2022Updated 4 years ago
- Integrating Clinical Knowledge into Concept Bottleneck Models (MICCAI2024)☆14Sep 12, 2024Updated last year
- Official implementation of MICCAI2024 paper "Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease …☆26Nov 21, 2024Updated last year
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆34Jun 8, 2023Updated 3 years ago
- Transparent medical image AI via an image–text foundation model grounded in medical literature☆87Apr 8, 2025Updated last year
- Official implementation of the paper "From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client…☆12Mar 13, 2025Updated last year
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆42Sep 17, 2025Updated 8 months ago