oscarkey / explanations-by-minimizing-uncertaintyLinks
Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"
☆19Updated 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:
- Official codebase for the paper "Provable concept learning for interpretable predictions using variational inference".☆14Updated 3 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆65Updated 3 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆49Updated 6 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Updated 3 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Updated 4 years ago
- Local explanations with uncertainty 💐!☆41Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…☆13Updated 2 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- ☆37Updated 2 years ago
- This is an implementation of the VAE (Variational Autoencoder) for Cifar10☆73Updated 4 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Updated 3 years ago
- ☆22Updated 6 years ago
- Code for "Generative causal explanations of black-box classifiers"☆35Updated 4 years ago
- A tutorial on learned non-adversarial invariance in neural networks☆13Updated 6 years ago
- ☆35Updated last year
- Self-Explaining Neural Networks☆13Updated 2 years ago
- Towards Robust Interpretability with Self-Explaining Neural Networks, Alvarez-Melis et al. 2018☆15Updated 6 years ago
- VAEs and nonlinear ICA: a unifying framework☆39Updated 5 years ago
- Implementation of the paper "Shapley Explanation Networks"☆89Updated 4 years ago
- Code for Diff-SCM paper☆100Updated 2 years ago
- ☆18Updated 2 years ago
- Optimal Transport Dataset Distance☆173Updated 3 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆77Updated 3 years ago
- Diffusion Models for Causal Discovery☆90Updated 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…☆99Updated 2 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year