tensorfreitas / Temporal-Ensembling-for-Semi-Supervised-LearningLinks
Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution
☆55Updated 5 years ago
Alternatives and similar repositories for Temporal-Ensembling-for-Semi-Supervised-Learning
Users that are interested in Temporal-Ensembling-for-Semi-Supervised-Learning are comparing it to the libraries listed below
Sorting:
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 8 years ago
- Pytorch implementation of Virtual Adversarial Training☆134Updated 6 years ago
- Temporal ensembling for semi-supervised learning☆158Updated 8 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- Meta-Learning based Noise-Tolerant Training☆125Updated 4 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Gold Loss Correction☆87Updated 6 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 6 years ago
- Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch☆81Updated 6 years ago
- PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning☆111Updated 6 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- ☆129Updated 2 years ago
- ☆126Updated 7 years ago
- Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".☆137Updated 6 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆352Updated 6 years ago
- This is a collection of Papers and Codes for Noisy Labels Problem.☆63Updated 7 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- Demo code for the MDAN paper.☆124Updated 5 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆223Updated 4 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆90Updated 4 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆175Updated 7 years ago
- Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)☆63Updated 6 years ago
- Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)☆141Updated 7 years ago
- Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)☆81Updated 6 years ago
- A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation☆44Updated 7 years ago
- Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).☆117Updated 5 years ago
- implement Domain-Adversarial Training of Neural Networks☆60Updated 6 years ago
- pytorch implement for the paper Few-Shot Adversarial Domain Adaptation☆54Updated last year
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago