bruno-31 / GAN-manifold-regularizationLinks
This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)
☆44Updated 5 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:
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 6 years ago
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Updated 7 years ago
- Joint distribution optimal transportation for domain adaptation☆102Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- ☆25Updated 6 years ago
- TensorFlow implementation of "Good Semi-supervised Learning that Requires a Bad GAN"☆12Updated 7 years ago
- A Tensorflow implementation of Improved GANs for semi supervised learning from Salimans et al.☆21Updated 6 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆19Updated 6 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 5 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 5 years ago
- Various SVM based methods for domain adaptation☆10Updated 9 years ago
- Deep Subspace Clustering + GAN☆23Updated 7 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆25Updated 6 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)☆59Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675☆23Updated 7 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation☆44Updated 7 years ago
- ☆15Updated 7 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- Subspace clustering through the deep learning approach☆22Updated 8 years ago
- MatConvNet: CNNs for MATLAB☆51Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆62Updated 2 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- Uncertainty interpretations of the neural network☆32Updated 7 years ago