Code and resources on scalable and efficient Graph Neural Networks
[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-...
Train Models Contrastively in Pytorch
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals....
PyTorch implementation of the InfoNCE loss for self-supervised learning.
Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Con...
[IJCAI-21] "Time-Series Representation Learning via Temporal and Context...
Official PyTorch implementation of Contrastive Learning of Musical Repre...
Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastiv...
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Re...
[CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Represent...
LibAUC: A Deep Learning Library for X-Risk Optimization
code for TCL: Vision-Language Pre-Training with Triple Contrastive Learn...
[AAAI 2023] An official source code for paper Hard Sample Aware Network ...