most citedSupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers

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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…