bojone / vibLinks
Variational Information Bottleneck
☆16Updated 7 years ago
Alternatives and similar repositories for vib
Users that are interested in vib are comparing it to the libraries listed below
Sorting:
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 8 years ago
- ☆32Updated 6 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- Generative Matching Networks☆29Updated 8 years ago
- Conditional variational autoencoder implementation in Torch☆107Updated 9 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆41Updated 7 years ago
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Updated 8 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 7 years ago
- ☆48Updated 7 years ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Updated 8 years ago
- On the decision boundary of deep neural networks☆38Updated 7 years ago
- Implementation of SNAIL(A Simple Neural Attentive Meta-Learner) with Gluon☆12Updated 6 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 7 years ago
- GANs with multiple Discriminators☆78Updated 3 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆35Updated 7 years ago
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 9 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 6 years ago
- Chainer implementation of deep-INFOMAX☆34Updated 7 years ago
- TensorFlow implementation of "Good Semi-supervised Learning that Requires a Bad GAN"☆12Updated 8 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 7 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆83Updated 7 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 8 years ago
- Highway networks implemented in PyTorch.☆54Updated 8 years ago
- Semi-Supervised Learning with Categorical VAE (experimented on MNIST)☆29Updated 8 years ago
- Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'☆16Updated last year
- ☆46Updated 7 years ago
- Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.☆54Updated 11 years ago
- Convolutional Variational Autoencoder☆34Updated 6 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago