ServiceNow / beyond-trivial-explanationsLinks
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Element AI.
☆13Updated 2 years ago
Alternatives and similar repositories for beyond-trivial-explanations
Users that are interested in beyond-trivial-explanations are comparing it to the libraries listed below
Sorting:
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆68Updated 2 years ago
- Code for Diff-SCM paper☆97Updated 2 years ago
- This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…☆13Updated 2 years ago
- ☆18Updated 5 years ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆84Updated last year
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆19Updated 4 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆68Updated last month
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆40Updated 2 years ago
- ☆39Updated last year
- ☆12Updated 3 years ago
- [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer☆20Updated 2 years ago
- Improving the Fairness of Chest X-ray Classifiers☆14Updated 3 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 5 years ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆54Updated 2 years ago
- Explanation by Progressive Exaggeration☆20Updated 2 years ago
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆34Updated 3 years ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12Updated 2 years ago
- Information Bottlenecks for Attribution☆81Updated 2 years ago
- [Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization☆28Updated 8 months ago
- ☆25Updated 3 years ago
- GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…☆13Updated 4 years ago
- Analysis of evidential models☆14Updated 2 years ago
- ☆36Updated 4 years ago
- ☆73Updated 5 years ago
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆25Updated 2 years ago
- Benchmark study of quality and faithfulness of counterfactual image generation☆27Updated 4 months ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆112Updated last year
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆95Updated 2 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆46Updated 3 years ago