stevenliuyi / information-bottleneckLinks
demonstration of the information bottleneck theory for deep learning
☆68Updated 8 years ago
Alternatives and similar repositories for information-bottleneck
Users that are interested in information-bottleneck are comparing it to the libraries listed below
Sorting:
- ☆155Updated 5 years ago
- Implementation of the variational continual learning method☆195Updated 6 years ago
- ☆93Updated 3 years ago
- ☆68Updated 6 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆132Updated 5 years ago
- ☆32Updated 3 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆116Updated 5 years ago
- The collection of recent papers about variational inference☆84Updated 6 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Updated 6 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- PyTorch implementation of FIM and empirical FIM☆60Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- ☆59Updated 2 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆52Updated 4 years ago
- Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning☆45Updated 7 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆74Updated 5 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- NTK reading group☆87Updated 6 years ago
- Pytorch implementation of Neural Processes for functions and images☆236Updated 3 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 3 years ago
- ☆126Updated last year
- ☆63Updated 5 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆173Updated 6 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆41Updated last year
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆190Updated 5 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆142Updated 6 years ago