yewsiang / ConceptBottleneck
Concept Bottleneck Models, ICML 2020
☆189Updated last year
Alternatives and similar repositories for ConceptBottleneck:
Users that are interested in ConceptBottleneck are comparing it to the libraries listed below
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆73Updated 9 months ago
- A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept dat…☆88Updated 10 months ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆57Updated 3 weeks ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆53Updated 2 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆36Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆105Updated last year
- Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!☆70Updated this week
- ☆73Updated 4 years ago
- ☆107Updated last year
- Original dataset release for CIFAR-10H☆82Updated 4 years ago
- Dataset and code for the CLEVR-XAI dataset.☆31Updated last year
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆70Updated 9 months ago
- This is a list of awesome prototype-based papers for explainable artificial intelligence.☆36Updated 2 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆82Updated 3 months ago
- ☆51Updated 4 years ago
- Invertible Concept-based Explanation (ICE)☆18Updated 3 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 2 years ago
- An automatic and efficient tool to describe functionalities of individual neurons in DNNs☆43Updated last year
- CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification☆87Updated 8 months ago
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆90Updated last year
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆73Updated 2 years ago
- Pytorch SimCLR on CIFAR10 (92.85% test accuracy)☆59Updated 4 years ago
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆103Updated 2 years ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 2 years ago
- ☆44Updated 2 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆558Updated last year
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆86Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- ☆109Updated 2 years ago