sakishinoda / tf-ssl
Virtual Adversarial Ladder Networks for Semi-Supervised Learning
☆13Updated 7 years ago
Alternatives and similar repositories for tf-ssl:
Users that are interested in tf-ssl are comparing it to the libraries listed below
- Virtual adversarial training with Tensorflow☆251Updated 6 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆130Updated 6 years ago
- This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CV…☆152Updated 7 years ago
- TensorFlow implementation of "Good Semi-supervised Learning that Requires a Bad GAN"☆12Updated 7 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 5 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 6 years ago
- ☆44Updated 6 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 7 years ago
- ☆58Updated 7 years ago
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago
- Pytorch implementation of Virtual Adversarial Training☆134Updated 5 years ago
- Tensorflow Implementation of open set domain adaptation by backpropagation☆29Updated 6 years ago
- Pytorch implementation of Wasserstein Auto-Encoders☆25Updated 7 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆48Updated 8 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆201Updated 7 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆145Updated 2 years ago
- Semi-supervised deep learning by metric embedding☆19Updated 8 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 7 years ago
- This is a pytorch implementation of Deep-INFOMAX.☆35Updated 5 years ago
- Temporal ensembling for semi-supervised learning☆158Updated 8 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆98Updated 8 years ago
- Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017☆146Updated 6 years ago
- Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)☆58Updated 6 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆175Updated 7 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 6 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆70Updated 7 years ago
- Gold Loss Correction☆87Updated 6 years ago
- Good Semi-Supervised Learning That Requires a Bad GAN☆180Updated 7 years ago