ferretj / temporal-ensembling
PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning
☆111Updated 6 years ago
Alternatives and similar repositories for temporal-ensembling:
Users that are interested in temporal-ensembling are comparing it to the libraries listed below
- Pytorch implementation of Virtual Adversarial Training☆134Updated 5 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 6 years ago
- Temporal ensembling for semi-supervised learning☆158Updated 8 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆145Updated 2 years ago
- Meta-Learning based Noise-Tolerant Training☆124Updated 4 years ago
- ☆170Updated 4 years ago
- Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'☆194Updated 5 years ago
- Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]☆118Updated 4 years ago
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆80Updated 4 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆222Updated 4 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- ☆129Updated 2 years ago
- Domain agnostic learning with disentangled representations☆147Updated 5 years ago
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆163Updated 4 years ago
- Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution☆55Updated 5 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)☆237Updated 4 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 8 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- Domain Generalization via Model-Agnostic Learning of Semantic Features☆146Updated 2 years ago
- Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch☆81Updated 6 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆139Updated 5 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆353Updated 5 years ago
- The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, htt…☆144Updated 6 years ago
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆147Updated 4 years ago
- Semi-supervised Domain Adaptation via Minimax Entropy☆305Updated last year
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated last year
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆286Updated 3 years ago
- Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"☆142Updated 5 years ago