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Reprogramming Pretrained Language Models for Protein Sequence Representation Learning
To this end, we reprogram an off-the-shelf pre-trained English language transformer and benchmark it on a set of protein physicochemical prediction tasks (secondary structure, stability, homology, stability) as well as on a biomedically relevant set of protein function prediction tasks (antimicrobial, toxicity, antibody affinity).
Reprogramming Language Models for Molecular Representation Learning
Recent advancements in transfer learning have made it a promising approach for domain adaptation via transfer of learned representations.
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