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cs.LG2024
Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning
Mina Rafiei, Mohammadmahdi Maheri, Hamid R. Rabiee
Meta-learning involves multiple learners, each dedicated to specific tasks, collaborating in a data-constrained setting. In current meta-learning methods, task learners locally lea…
cs.LG2024
HGTDR: Advancing Drug Repurposing with Heterogeneous Graph Transformers
Ali Gharizadeh, Karim Abbasi, Amin Ghareyazi +2
Motivation: Drug repurposing is a viable solution for reducing the time and cost associated with drug development. However, thus far, the proposed drug repurposing approaches still…