Transfer Learning
Noise May Contain Transferable Knowledge: Understanding Semi-supervised Heterogeneous Domain Adaptation from an Empirical Perspective
·6916 words·33 mins·
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AI Generated
🤗 Daily Papers
Machine Learning
Transfer Learning
🏢 Beijing Teleinfo Technology Company Ltd., China Academy of Information and Communications Technology
Unveiling the surprising potential of noise: transferable knowledge in semi-supervised heterogeneous domain adaptation (SHDA).
Towards Data-Efficient Pretraining for Atomic Property Prediction
·3694 words·18 mins·
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AI Generated
🤗 Daily Papers
Machine Learning
Transfer Learning
🏢 King Abdullah University of Science and Technology
High-quality, task-relevant pretraining data surpasses large-scale pretraining in atomic property prediction, achieving comparable performance at 1/24th the computational cost.