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Found 4 papers, 1 papers with code
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators
Molecular dynamics simulations have emerged as a fundamental instrument for studying biomolecules.
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation
Class association embedding distills the global class-related features of all instances into a unified domain with well separation between classes.
Learning-Augmented B-Trees
We study learning-augmented binary search trees (BSTs) and B-Trees via Treaps with composite priorities.
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
A popular and effective approach for implicit recommendation is to treat unobserved data as negative but downweight their confidence.
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