amiratag / ACE
Towards Automatic Concept-based Explanations
☆157Updated 8 months ago
Alternatives and similar repositories for ACE:
Users that are interested in ACE are comparing it to the libraries listed below
- ☆50Updated 4 years ago
- ☆109Updated 2 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆52Updated 2 years ago
- This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.☆182Updated 2 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆127Updated 3 years ago
- IBD: Interpretable Basis Decomposition for Visual Explanation☆52Updated 6 years ago
- Detect model's attention☆163Updated 4 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 4 years ago
- Full-gradient saliency maps☆207Updated last year
- Quantitative Testing with Concept Activation Vectors in PyTorch☆42Updated 5 years ago
- This repository provides a PyTorch implementation of "Fooling Neural Network Interpretations via Adversarial Model Manipulation". Our pap…☆22Updated 4 years ago
- Interpretation of Neural Network is Fragile☆36Updated 8 months ago
- Concept activation vectors for Keras☆13Updated last year
- reference implementation for "explanations can be manipulated and geometry is to blame"☆36Updated 2 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- Concept Bottleneck Models, ICML 2020☆185Updated last year
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 2 years ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆299Updated 4 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 2 years ago
- ☆140Updated 4 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆96Updated 2 years ago
- ☆119Updated 2 years ago
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Updated 2 years ago
- code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018☆67Updated 3 years ago
- SmoothGrad implementation in PyTorch☆171Updated 3 years ago
- Combating hidden stratification with GEORGE☆62Updated 3 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 6 years ago
- Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆97Updated 6 years ago
- CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!☆60Updated 2 years ago