dmitrykazhdan / CME
CME: Concept-based Model Extraction
☆12Updated 4 years ago
Alternatives and similar repositories for CME:
Users that are interested in CME are comparing it to the libraries listed below
- DISSECT: Disentangled Simultaneous Explanations via Concept Traversals☆11Updated 11 months ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆52Updated 2 years ago
- This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…☆9Updated 2 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆52Updated 2 years ago
- ☆38Updated 3 years ago
- Overlooked Factors in Concept-based Explanations: Dataset Choice, Concept Learnability, and Human Capability (CVPR 2023)☆9Updated last year
- Official code repository for Correct-N-Contrast☆20Updated 2 years ago
- ☆43Updated 2 years ago
- 'Robust Semantic Interpretability: Revisiting Concept Activation Vectors' Official Implementation☆11Updated 4 years ago
- Self-Explaining Neural Networks☆39Updated 4 years ago
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 4 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 2 years ago
- ☆32Updated 3 years ago
- Implementation of the paper "A Framework for Learning Ante-hoc Explainable Models via Concepts" (CVPR 2022).☆8Updated 6 months ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆36Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- reference implementation for "explanations can be manipulated and geometry is to blame"☆36Updated 2 years ago
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆12Updated 4 years ago
- Self-Explaining Neural Networks☆13Updated last year
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆23Updated 2 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- Improving the Fairness of Chest X-ray Classifiers☆14Updated 2 years ago
- ☆15Updated 4 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆40Updated last year
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆18Updated 3 years ago
- Distilling Model Failures as Directions in Latent Space☆46Updated last year
- Implementation of Concept-level Debugging of Part-Prototype Networks☆11Updated last year
- ☆15Updated last year
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…☆13Updated last year
- CVPR'19 experiments with (on-manifold) adversarial examples.☆44Updated 4 years ago