Trustworthy-ML-Lab / Label-free-CBMLinks
[ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data
☆103Updated last year
Alternatives and similar repositories for Label-free-CBM
Users that are interested in Label-free-CBM are comparing it to the libraries listed below
Sorting:
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆78Updated last year
- CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification☆91Updated last year
- [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs☆52Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated last year
- This is the official implementation of the Concept Discovery Models paper.☆13Updated last year
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆45Updated 7 months ago
- Concept Bottleneck Models, ICML 2020☆204Updated 2 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆63Updated last month
- ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations☆18Updated last month
- SpuCo is a Python package developed to further research to address spurious correlations.☆24Updated 5 months ago
- Analysis of evidential models☆13Updated 2 years ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12Updated 2 years ago
- [NeurIPS 24] A new training and evaluation framework for learning interpretable deep vision models and benchmarking different interpretab…☆18Updated 3 weeks ago
- Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"☆17Updated last year
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆65Updated 2 years ago
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆110Updated last year
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆35Updated 10 months ago
- Code for the paper Visual Explanations of Image–Text Representations via Multi-Modal Information Bottleneck Attribution☆52Updated last year
- ☆65Updated last year
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆49Updated last year
- [ICML23] On Pitfalls of Test-Time Adaptation☆119Updated last year
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆24Updated last year
- ☆22Updated last year
- A collection of model transferability estimation methods.☆28Updated 8 months ago
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆20Updated 8 months ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆48Updated 11 months ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆41Updated 2 years ago
- ☆35Updated 5 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆28Updated last year
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆65Updated last year