joshr17 / HCL
ICLR 2021, Contrastive Learning with Hard Negative Samples
☆265Updated 3 years ago
Alternatives and similar repositories for HCL:
Users that are interested in HCL are comparing it to the libraries listed below
- NeurIPS 2020, Debiased Contrastive Learning☆283Updated 2 years ago
- PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"☆583Updated 2 years ago
- ☆154Updated 2 years ago
- Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…☆441Updated 2 years ago
- Awesome Contrastive Learning for CV & NLP☆162Updated 3 years ago
- A list of contrastive Learning papers☆303Updated 3 years ago
- This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.☆115Updated 3 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated 3 years ago
- ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning☆77Updated last year
- Experiments with supervised contrastive learning methods with different loss functions☆220Updated 2 years ago
- Implementation of Multi-View Information Bottleneck☆132Updated 4 years ago
- Code for the paper "Contrastive Clustering" (AAAI 2021)☆313Updated 2 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆126Updated 5 years ago
- "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…☆229Updated 5 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆130Updated 2 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- FlatNCE: A Novel Contrastive Representation Learning Objective☆90Updated 3 years ago
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆216Updated last year
- Exploring Simple Siamese Representation Learning☆60Updated 4 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆168Updated 3 years ago
- MoPro: Webly Supervised Learning☆87Updated 4 years ago
- Meta Label Correction for Noisy Label Learning☆85Updated 2 years ago
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆155Updated 4 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆286Updated 3 years ago
- Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.☆151Updated 2 years ago
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆203Updated 11 months ago
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆272Updated 2 years ago
- Multi-Label Learning from Single Positive Labels - CVPR 2021☆95Updated last year
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- [CVPR 2022] PyTorch implementation of Hierarchical Contrastive Selective Coding (HCSC) (https://arxiv.org/abs/2202.00455)☆131Updated 3 years ago