ravidziv / Information-bottleneckLinks
Python implementation of the infomration bottleneck method (tishby et al, 1999)
☆36Updated 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:
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- Deep variational inference in tensorflow☆56Updated 7 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆72Updated 6 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 8 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 6 years ago
- Sparsifying Variational Dropout in Tensorflow☆22Updated 7 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 9 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- ☆63Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago
- ☆34Updated 6 years ago
- Proceedings of ICML 2018☆39Updated 2 years ago
- Related materials for robust and explainable machine learning☆48Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- ☆33Updated 6 years ago
- RP-GAN: Stable GAN Training with Random Projections☆22Updated 6 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago