ContrastiveSR / Contrastive_Learning_PapersLinks
A list of contrastive Learning papers
☆308Updated 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:
- ICLR 2021, Contrastive Learning with Hard Negative Samples☆279Updated 4 years ago
- Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…☆460Updated 3 years ago
- ☆494Updated last year
- Accepted Journal/Conference Paper Lists☆149Updated 3 years ago
- Awesome Contrastive Learning for CV & NLP☆164Updated 4 years ago
- Crawl & visualize ICLR papers and reviews.☆450Updated 3 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆224Updated 3 years ago
- PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"☆610Updated 9 months ago
- List of Publications in Graph Contrastive Learning☆34Updated 3 years ago
- An update-to-date list for papers related with label-noise representation learning is here.☆91Updated 4 years ago
- Code for paper: "Coherent Hierarchical Multi-Label Classification Networks"☆90Updated 2 years ago
- Collect awesome best papers from top AI conferences.☆480Updated 3 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆620Updated last year
- Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"☆95Updated 5 years ago
- This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.☆117Updated 4 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆85Updated 3 years ago
- Code for the paper "Contrastive Clustering" (AAAI 2021)☆330Updated 3 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆93Updated last year
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆343Updated last year
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Updated 2 years ago
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆225Updated 2 years ago
- A curated list for awesome self-supervised learning for graphs.☆388Updated 3 years ago
- ☆276Updated 3 years ago
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,310Updated last year
- Collect papers about graph☆76Updated 5 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
- A curated list of repositories in which many NLP/CV/ML papers and related area resources are collected.☆190Updated 3 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…☆119Updated 5 years ago