alexalemi / vib_demo
☆89Updated 3 years ago
Alternatives and similar repositories for vib_demo:
Users that are interested in vib_demo are comparing it to the libraries listed below
- Pytorch implementation of Deep Variational Information Bottleneck☆183Updated 6 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆85Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- ☆58Updated last year
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 4 months ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated last year
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- A Tensorflow implementation Mutual Information estimation methods☆46Updated last year
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 6 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆38Updated 6 months ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- ☆150Updated 4 years ago
- ☆68Updated 5 years ago
- ☆64Updated 4 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆99Updated 4 years ago
- ☆31Updated 2 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- ☆87Updated 6 months ago
- The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"☆23Updated 5 years ago
- Compressing Neural Networks using the Variational Information Bottleneck☆64Updated 2 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- Tensorflow implementation of deep variational information bottleneck☆24Updated 2 years ago
- NTK reading group☆88Updated 5 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆203Updated 6 years ago