iBelieveCJM / pseudo_label-pytorchLinks
The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
☆338Updated 6 years ago
Alternatives and similar repositories for pseudo_label-pytorch
Users that are interested in pseudo_label-pytorch are comparing it to the libraries listed below
Sorting:
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆451Updated 2 years ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆669Updated 2 years ago
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆235Updated 2 years ago
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆652Updated last year
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆972Updated 3 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆473Updated 3 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆569Updated 10 months ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆234Updated 3 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆754Updated 4 years ago
- ☆569Updated 2 years ago
- PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning☆111Updated 6 years ago
- Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020☆589Updated 2 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆612Updated 3 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 6 years ago
- A curated list of long-tailed recognition resources.☆584Updated 2 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆223Updated 4 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆798Updated last year
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆212Updated 4 years ago
- [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"☆368Updated 2 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆677Updated 3 years ago
- Learning What and Where to Transfer (ICML 2019)☆248Updated 4 years ago
- TensorFlow Implementation of Deep Mutual Learning☆321Updated 7 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆352Updated 6 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆506Updated 3 years ago
- Implementation of the mixup training method☆466Updated 7 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆557Updated 4 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆866Updated 2 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆289Updated 3 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago