dmelis / SENN
Self-Explaining Neural Networks
☆13Updated last year
Alternatives and similar repositories for SENN:
Users that are interested in SENN are comparing it to the libraries listed below
- ☆30Updated 3 years ago
- Self-Explaining Neural Networks☆39Updated 5 years ago
- ☆64Updated 4 years ago
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 4 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Updated 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
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆18Updated 3 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 3 years ago
- Local explanations with uncertainty 💐!☆39Updated last year
- ☆50Updated last year
- ☆40Updated 5 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- ☆32Updated 6 years ago
- Code for Invariant Rep. Without Adversaries (NIPS 2018)☆35Updated 5 years ago
- Anonymized code for ICLR 2019 submission "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆20Updated 6 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆74Updated 7 years ago
- code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"☆46Updated 5 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆55Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 4 years ago
- ☆27Updated 4 years ago
- ☆39Updated 3 years ago
- ☆44Updated 3 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated 4 months ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆30Updated 2 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Updated 5 years ago