bruno-31 / GAN-manifold-regularizationLinks
This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)
☆44Updated 6 years ago
Alternatives and similar repositories for GAN-manifold-regularization
Users that are interested in GAN-manifold-regularization are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks☆57Updated 6 years ago
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Updated 8 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆47Updated 9 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 7 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
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 6 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 6 years ago
- An adversarial autoencoder implementation in pytorch☆85Updated 6 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 8 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆20Updated 7 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Denoising Adversairal Autoencoders☆41Updated 8 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆73Updated 6 years ago
- Uncertainty interpretations of the neural network☆32Updated 7 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- GANs with multiple Discriminators☆78Updated 2 years ago
- Label Distribution Learning Forest☆30Updated 8 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 5 years ago
- 97.39% on CIFAR10 with PyTorch☆15Updated 6 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 7 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 7 years ago
- Deep Transfer Learning Papers☆81Updated 3 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 7 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 7 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 6 years ago