ContrastiveSR / Contrastive_Learning_PapersLinks
A list of contrastive Learning papers
☆305Updated 3 years ago
Alternatives and similar repositories for Contrastive_Learning_Papers
Users that are interested in Contrastive_Learning_Papers are comparing it to the libraries listed below
Sorting:
- Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…☆444Updated 2 years ago
- ICLR 2021, Contrastive Learning with Hard Negative Samples☆267Updated 3 years ago
- ☆481Updated 7 months ago
- Awesome Contrastive Learning for CV & NLP☆163Updated 3 years ago
- PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"☆590Updated last month
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,275Updated 8 months ago
- Experiments with supervised contrastive learning methods with different loss functions☆220Updated 2 years ago
- Code for the paper "Contrastive Clustering" (AAAI 2021)☆317Updated 2 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆592Updated 10 months ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆327Updated last year
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated last year
- Accepted Journal/Conference Paper Lists☆151Updated 2 years ago
- PyTorch implementation of the InfoNCE loss for self-supervised learning.☆557Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- Code for paper: "Coherent Hierarchical Multi-Label Classification Networks"☆87Updated 2 years ago
- A list of Contrastive Learning Papers&Codes. Unsupervised: MoCo/SimCLR/SwAV/BYOL/SimSiam☆242Updated 4 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year
- NeurIPS 2020, Debiased Contrastive Learning☆282Updated 2 years ago
- ☆268Updated 2 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆370Updated last year
- This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.☆115Updated 3 years ago
- [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"☆368Updated 2 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆157Updated 2 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago