shjo-april / Tensorflow_FixMatchLinks
[Re-implementation] FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
☆15Updated 5 years ago
Alternatives and similar repositories for Tensorflow_FixMatch
Users that are interested in Tensorflow_FixMatch are comparing it to the libraries listed below
Sorting:
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆36Updated 4 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆220Updated 2 years ago
- A Python Package for Deep Imbalanced Learning☆57Updated 3 weeks ago
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆73Updated 5 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 5 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆47Updated 4 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 4 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆57Updated 6 years ago
- An implementation of the BADGE batch active learning algorithm.☆208Updated last year
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆64Updated 4 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated last year
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆88Updated 3 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 3 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆95Updated 9 months ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)☆23Updated 4 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)☆19Updated 5 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆176Updated last year
- ☆37Updated 4 years ago
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆171Updated 4 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆89Updated 11 months ago
- Awesome Active Learning Paper List☆143Updated last year
- [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题☆109Updated last year
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆203Updated 5 years ago
- A PyTorch implementation of the Variational approach for PU learning☆29Updated 4 years ago