dmelis / robust_interpret
Tools for robustness evaluation in interpretability methods
☆10Updated 3 years ago
Alternatives and similar repositories for robust_interpret
Users that are interested in robust_interpret are comparing it to the libraries listed below
Sorting:
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- ☆26Updated 6 years ago
- ☆20Updated 4 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- ☆65Updated 9 months ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- code release for the NIPS 2016 paper☆27Updated 8 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- ZForcing Repo☆40Updated 7 years ago
- Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"☆14Updated 4 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Lagrangian VAE☆28Updated 6 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- ☆14Updated last year
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- ☆49Updated 4 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆18Updated 4 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- ☆30Updated 4 years ago
- ☆12Updated 5 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 3 years ago