C&EN

KGG: Knowledge-Guided Graph Self-Supervised Learning to Enhance Molecular Property Predictions

Faculty of Pharmacy, University of Medicine and Pharmacy at Ho Chi Minh City, 41 Dinh Tien Hoang, District 1, Ho Chi Minh City 700000, Vietnam ...
eLife

CellSeg3D, Self-supervised 3D cell segmentation for fluorescence microscopy

This important work presents a self-supervised method for the segmentation of 3D cells in fluorescent microscopy images, conveniently packaged as a Napari plugin and tested on an annotated dataset.
IEEE

Investigating The Potential of Self-Supervised Learning in Adversarial Machine Learning

Abstract: Machine learning has enabled innovative usage in numerous fields. These systems are vulnerable to hostile assaults. Small intentional alterations to misclassify data constitute a major ...
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.
GitHub

self-supervised-learning

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation ...
GitHub

Dissecting Self-Supervised Learning Methods for Surgical Computer Vision

The field of surgical computer vision has undergone considerable breakthroughs in recent years with the rising popularity of deep neural network-based methods. However, standard fully-supervised ...
Frontiers

Transfer learning for self-supervised, blind-spot seismic denoising

Noise is ever present in seismic data and arises from numerous sources and is continually evolving, both spatially and temporally. The use of supervised deep learning procedures for denoising of ...