leerumor / contrastive_learning_codesLinks
A list of Contrastive Learning Papers&Codes. Unsupervised: MoCo/SimCLR/SwAV/BYOL/SimSiam
☆238Updated 5 years ago
Alternatives and similar repositories for contrastive_learning_codes
Users that are interested in contrastive_learning_codes are comparing it to the libraries listed below
Sorting:
- [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"☆374Updated 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
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆571Updated last month
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆519Updated 4 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆127Updated 2 years ago
- Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)☆112Updated 4 years ago
- ☆163Updated 3 years ago
- A Survey☆573Updated 2 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆225Updated 5 years ago
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆171Updated 4 years ago
- KSSNet: Multi-Label Classification with Label Graph Superimposing☆60Updated 5 years ago
- An unofficial implementation of 《Deep Mutual Learning》 by Pytorch to do classification on cifar100.☆168Updated 5 years ago
- AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries☆163Updated 2 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆475Updated 4 years ago
- Ranking-based-Instance-Selection☆33Updated 4 years ago
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆225Updated 2 years ago
- An update-to-date list for papers related with label-noise representation learning is here.☆91Updated 4 years ago
- Pytorch implementation for Deep Self-Learning From Noisy Labels☆33Updated 5 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆130Updated 6 years ago
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆237Updated 2 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 5 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆291Updated 4 years ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆668Updated 3 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆170Updated 4 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆90Updated 6 years ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆342Updated 7 years ago
- PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)☆579Updated 2 years ago
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆191Updated 5 years ago
- ☆494Updated last year