flecue / xai-aaai2022
☆31Updated 3 years ago
Alternatives and similar repositories for xai-aaai2022
Users that are interested in xai-aaai2022 are comparing it to the libraries listed below
Sorting:
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆66Updated 2 years ago
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆70Updated 2 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆49Updated last year
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- A repository for summaries of recent explainable AI/Interpretable ML approaches☆74Updated 7 months ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 3 years ago
- A collection of algorithms of counterfactual explanations.☆50Updated 4 years ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆42Updated 2 months ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated 2 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 2 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- Neural Additive Models (Google Research)☆69Updated 3 years ago
- [ML4H 2022] This is the code for our paper `Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions …☆24Updated last year
- Code for paper: Are Large Language Models Post Hoc Explainers?☆31Updated 9 months ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆35Updated last year
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 4 years ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆50Updated 2 years ago
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆18Updated last year
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆60Updated 4 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 5 years ago
- PyTorch code for WWW 19 paper: On Attribution of Recurrent Neural Network Predictions via Additive Decomposition☆10Updated 4 years ago
- Dual Adversarial Autoencoder for Generating Set-valued Sequences☆18Updated 4 years ago
- ☆89Updated last week
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆150Updated 2 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆128Updated 3 years ago