oscarkey / explanations-by-minimizing-uncertaintyLinks
Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"
☆18Updated 4 years ago
Alternatives and similar repositories for explanations-by-minimizing-uncertainty
Users that are interested in explanations-by-minimizing-uncertainty are comparing it to the libraries listed below
Sorting:
- Disentangled gEnerative cAusal Representation (DEAR)☆61Updated 2 years ago
- Official codebase for the paper "Provable concept learning for interpretable predictions using variational inference".☆14Updated 3 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…☆13Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆47Updated 6 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- ☆37Updated 2 years ago
- Local explanations with uncertainty 💐!☆40Updated 2 years ago
- Towards Robust Interpretability with Self-Explaining Neural Networks, Alvarez-Melis et al. 2018☆15Updated 5 years ago
- Code for "Generative causal explanations of black-box classifiers"☆35Updated 4 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆102Updated 4 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆53Updated 3 years ago
- Self-Explaining Neural Networks☆13Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- ☆10Updated 3 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆38Updated 4 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- VAEs and nonlinear ICA: a unifying framework☆37Updated 5 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆121Updated 2 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆75Updated 5 years ago
- Code for Diff-SCM paper☆97Updated 2 years ago
- ☆27Updated 4 months ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 4 years ago
- ☆63Updated 4 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- This is an implementation of the VAE (Variational Autoencoder) for Cifar10☆73Updated 3 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆95Updated 2 years ago
- ☆25Updated 3 years ago