VainF / Awesome-Contrastive-Learning
Awesome Contrastive Learning for CV & NLP
☆162Updated 3 years ago
Alternatives and similar repositories for Awesome-Contrastive-Learning:
Users that are interested in Awesome-Contrastive-Learning are comparing it to the libraries listed below
- NeurIPS 2020, Debiased Contrastive Learning☆282Updated last year
- ICLR 2021, Contrastive Learning with Hard Negative Samples☆261Updated 3 years ago
- A list of contrastive Learning papers☆303Updated 2 years ago
- Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…☆437Updated 2 years ago
- MoCo with Alignment and Uniformity Loss.☆62Updated 3 years ago
- 📜 Self-Supervised Learning from Images: Up-to-date reading list.☆196Updated 2 years ago
- "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…☆226Updated 5 years ago
- ☆172Updated 7 months ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Updated 2 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆129Updated 2 years ago
- FlatNCE: A Novel Contrastive Representation Learning Objective☆90Updated 3 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆103Updated 3 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆218Updated 2 years ago
- Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)☆110Updated 3 years ago
- Code for Which Tasks Should Be Learned Together in Multi-task Learning?☆94Updated last year
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆126Updated 5 years ago
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 3 years ago
- ☆472Updated 4 months ago
- ☆92Updated 4 years ago
- PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"☆579Updated 2 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆77Updated 2 years ago
- Implementation of Multi-View Information Bottleneck☆130Updated 4 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated 3 years ago
- Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)☆77Updated last year
- [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.☆164Updated 3 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆77Updated last year
- Exploring Simple Siamese Representation Learning☆60Updated 4 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆104Updated 4 years ago
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆538Updated 7 months ago
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆268Updated last year