1 citations · 1 across the 2 of their papers we have counts for
2 papers
astro-ph.IM2023
LenSiam: Self-Supervised Learning on Strong Gravitational Lens Images
Po-Wen Chang, Kuan-Wei Huang, Joshua Fagin +2
Self-supervised learning has been known for learning good representations from data without the need for annotated labels. We explore the simple siamese (SimSiam) architecture for…
cs.LG2023★ 1 cited
SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers
Michael Maser, Ji Won Park, Joshua Yao-Yu Lin +3
We investigate Siamese networks for learning related embeddings for augmented samples of molecular conformers. We find that a non-contrastive (positive-pair only) auxiliary task ai…