s-laine / tempensLinks
Temporal ensembling for semi-supervised learning
☆158Updated 8 years ago
Alternatives and similar repositories for tempens
Users that are interested in tempens are comparing it to the libraries listed below
Sorting:
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 8 years ago
- Virtual adversarial training with Tensorflow☆252Updated 7 years ago
- Pytorch implementation of Virtual Adversarial Training☆134Updated 6 years ago
- Robust loss functions for deep neural networks (CVPR 2017)☆91Updated 5 years ago
- Caffe: a fast open framework for deep learning.☆135Updated 9 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆175Updated 7 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)☆141Updated 7 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)☆160Updated 7 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆353Updated 6 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆295Updated 6 years ago
- Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'☆194Updated 5 years ago
- Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution☆55Updated 5 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆129Updated 6 years ago
- Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"☆120Updated 6 years ago
- Good Semi-Supervised Learning That Requires a Bad GAN☆179Updated 7 years ago
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆110Updated 7 years ago
- ☆43Updated 6 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 8 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆149Updated 2 years ago
- Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017☆146Updated 6 years ago
- Learning What and Where to Transfer (ICML 2019)☆248Updated 4 years ago
- Gold Loss Correction☆87Updated 6 years ago
- Repository for our paper "Zero-Shot Learning Through Cross-Modal Transfer" from NIPS 2013.☆54Updated 11 years ago
- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆269Updated 6 years ago
- Meta-Learning based Noise-Tolerant Training☆126Updated 4 years ago
- Unofficial Implement of Asymmetric Tri-training for Unsupervised Domain Adaptation☆40Updated 8 years ago
- PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning☆111Updated 6 years ago
- This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CV…☆151Updated 7 years ago