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Found 3 papers, 2 papers with code
Solvent: A Framework for Protein Folding
We hope that Solvent will increase the reliability and consistency of proposed models and give efficiency in both speed and costs, resulting in acceleration on protein folding modeling research.
Loss-based Sequential Learning for Active Domain Adaptation
To solve these, we fully utilize pseudo labels of the unlabeled target domain by leveraging loss prediction.
Domain Adaptation without Source Data
Our key idea is to leverage a pre-trained model from the source domain and progressively update the target model in a self-learning manner.
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