[ICML 2023] Official implementation of "A randomized schur complement based graph augmentor"
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Updated
Jun 29, 2024 - Python
[ICML 2023] Official implementation of "A randomized schur complement based graph augmentor"
A Survey of Learning from Graphs with Heterophily
Contrastive-LSH Embedding and Tokenization Technique for Multivariate Time Series Classification
A python library for self-supervised learning on images.
This is the official implementation of the paper Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images.
[WACV 2024 Oral] - ARNIQA: Learning Distortion Manifold for Image Quality Assessment
DCMVC: Dual Contrastive Multi-view Clustering (DCMVC)
ProTrek: Navigating the Protein Universe through Tri-Modal Contrastive Learning
All-in-One: Text Embedding, Retrieval, Rerank and RAG
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
Implementation of modulated sigmoid pairwise contrastive loss for self-supervised learning on images
[CVPR2024] Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation
TC (MICCAI 2024) official code
Employ contrastive learning to enhance the ResNet-50 performace for skin lesion classification.
Contrastive Learning with Augmentations for Training Dialogue Embeddings
Computationally-free personalization at test time for sEMG gesture classification. Fast (gpu/cpu) ninapro API.
Improving Word Translation via Two-Stage Contrastive Learning (ACL 2022). Keywords: Bilingual Lexicon Induction, Word Translation, Cross-Lingual Word Embeddings.
[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
This code is a custom implementation of the Supervised Contrastive Learning paper (https://arxiv.org/abs/2004.11362).
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