Frontiers

Contrastive self-supervised learning for neurodegenerative disorder classification

Neurodegenerative diseases such as Alzheimer's disease (AD) or frontotemporal lobar degeneration (FTLD) involve specific loss of brain volume, detectable in vivo using T1-weighted MRI scans.
C&EN

Semisupervised Contrastive Learning for Bioactivity Prediction Using Cell Painting Image Data

Morphological profiling has recently demonstrated remarkable potential for identifying the biological activities of small molecules. Alongside the fully supervised and self-supervised machine learning ...
IEEE

Supervised Contrastive Learning-Based Domain Generalization Network for Cross-Subject Motor Decoding

Abstract: Developing an electroencephalogram (EEG)-based motor imagery and motor execution (MI/ME) decoding system that is both highly accurate and calibration-free for cross-subject applications ...
IEEE

Dual-Supervised Contrastive Learning for Bundle Recommendation

Abstract: Self-supervised contrastive learning has well advanced the development of bundle recommendation. However, self-supervised contrastive learning may misclassify some positive samples as ...
Frontiers

Contrastive self-supervised representation learning without negative samples for multimodal human action recognition

Action recognition is an important component of human-computer interaction, and multimodal feature representation and learning methods can be used to improve recognition performance due to the ...
C&EN

SMICLR: Contrastive Learning on Multiple Molecular Representations for Semisupervised and Unsupervised Representation Learning

Machine learning as a tool for chemical space exploration broadens horizons to work with known and unknown molecules. At its core lies molecular representation, an essential key to improve learning ...
GitHub

Dense Contrastive Learning for Self-Supervised Visual Pre-Training

Please refer to INSTALL.md for installation and dataset preparation. The metrics for VOC det and seg are AP (COCO-style) and mIoU. The results are averaged over 5 ...