feifeife / All-about-XAI
This repository is all about papers and tools of Explainable AI
☆35Updated 4 years ago
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- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆73Updated 2 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 6 years ago
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- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆125Updated 3 years ago
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- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆65Updated 4 years ago
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆24Updated 2 years ago
- Self-Explaining Neural Networks☆38Updated 4 years ago
- Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.☆50Updated 2 years ago
- Tools for training explainable models using attribution priors.☆121Updated 3 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 2 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆124Updated 3 years ago
- Towards Automatic Concept-based Explanations☆154Updated 4 months ago
- Visual Explanation using Uncertainty based Class Activation Maps☆20Updated 4 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆94Updated 2 years ago
- How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods☆23Updated 3 years ago
- Explaining Image Classifiers by Counterfactual Generation☆27Updated 2 years ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆69Updated last year
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- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 3 years ago
- A lightweight implementation of removal-based explanations for ML models.☆56Updated 3 years ago
- Dataset and code for the CLEVR-XAI dataset.☆27Updated 11 months ago
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- Tensorflow implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks". It explains connections between…☆16Updated 5 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- Code for our paper☆12Updated 2 years ago
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 3 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆55Updated last year
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 3 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago