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Found 5 papers, 2 papers with code
Generative AI for Controllable Protein Sequence Design: A Survey
To set the stage, we first outline the foundational tasks in protein sequence design in terms of the constraints involved and present key generative models and optimization algorithms.
Contrastive Knowledge Amalgamation for Unsupervised Image Classification
Current methods focus on coarsely aligning teachers and students in the common representation space, making it difficult for the student to learn the proper decision boundaries from a set of heterogeneous teachers.
Deep Reinforcement Learning for Entity Alignment
Embedding-based methods have attracted increasing attention in recent entity alignment (EA) studies.
DialMed: A Dataset for Dialogue-based Medication Recommendation
Therefore, we make the first attempt to recommend medications with the conversations between doctors and patients.
Prompt-Guided Injection of Conformation to Pre-trained Protein Model
To incorporate conformational knowledge to PTPMs, we propose an interaction-conformation prompt (IC prompt) that is learned through back-propagation with the protein-protein interaction task.
