EoinKenny / AAAI-2021Links
Code for our paper
☆13Updated 3 years ago
Alternatives and similar repositories for AAAI-2021
Users that are interested in AAAI-2021 are comparing it to the libraries listed below
Sorting:
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 3 years ago
- Pytorch implementation of various neural network interpretability methods☆119Updated 3 years ago
- implements some LRP rules to get explanations for Resnets and Densenet-121, including batchnorm-Conv canonization and tensorbiased layers…☆25Updated last year
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆215Updated 3 years ago
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆138Updated 4 years ago
- ☆121Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆57Updated 6 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆155Updated 3 years ago
- This repository is all about papers and tools of Explainable AI☆36Updated 5 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 3 years ago
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Updated 3 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆83Updated 2 years ago
- Basic LRP implementation in PyTorch☆171Updated last year
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆16Updated 2 months ago
- STEEX: Steering Counterfactual Explanations with Semantics☆21Updated 2 years ago
- ☆18Updated 2 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 6 years ago
- The code snippets for the SW chapter of the "Interpretable AI" book.☆19Updated 6 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆53Updated 3 years ago
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆34Updated 3 years ago
- Code for Deep learning models for electrocardiograms are susceptible to adversarial attack☆23Updated 4 years ago
- ☆46Updated 4 years ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆89Updated 7 months ago
- Explanation by Progressive Exaggeration☆20Updated 2 years ago
- ☆33Updated 7 years ago
- Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.☆32Updated 4 years ago
- Code for Diff-SCM paper☆97Updated 2 years ago
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆130Updated last year
- Detect model's attention☆168Updated 5 years ago