iBelieveCJM / pseudo_label-pytorchLinks
The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
☆343Updated 7 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☆452Updated 2 years ago
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆652Updated 2 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆517Updated 4 years ago
- ☆576Updated 3 years ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆669Updated 3 years ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆236Updated 4 years ago
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆236Updated 2 years ago
- Learning What and Where to Transfer (ICML 2019)☆250Updated 5 years ago
- Transfer Learning Library☆463Updated 4 years ago
- A PyTorch implementation for Adversarial Discriminative Domain Adaptation☆492Updated 3 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆761Updated 4 years ago
- Pytorch implementation of Domain Separation Networks☆154Updated 6 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆571Updated last year
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆615Updated 4 years ago
- Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)☆410Updated 4 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆805Updated last year
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆976Updated 4 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 6 years ago
- PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning☆111Updated 7 years ago
- An implementation of DANN with pytorch☆216Updated 6 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆474Updated 4 years ago
- Implementation of the mixup training method☆471Updated 7 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆134Updated 7 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆224Updated 5 years ago
- A curated list of long-tailed recognition resources.☆586Updated 2 years ago
- Unsupervised Domain Adaptation Papers and Code☆768Updated 4 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆693Updated 3 years ago
- A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance☆162Updated 7 years ago
- Code release for Universal Domain Adaptation(CVPR 2019)☆281Updated 2 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆724Updated 3 years ago