AINeutralarXiv – CS AI · 10h ago6/10
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Enhancing Protein Representation Learning via Manifold Restore Mixing
Researchers propose Manifold Restore Mixing (MRM), a novel data augmentation method that addresses structural degradation issues in protein representation learning by mixing hidden representations of original and augmented protein data. The approach combines manifold mixup techniques with a difficulty scheduler to generate training samples that preserve protein structure while introducing beneficial variations.