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cs.LG2025
ReBaPL: Repulsive Bayesian Prompt Learning
Yassir Bendou, Omar Ezzahir, Eduardo Fernandes Montesuma +3
Prompt learning has emerged as an effective technique for fine-tuning large-scale foundation models for downstream tasks. However, conventional prompt learning methods are prone to…
q-bio.NC2025★ 1 cited
Diagrammatic expansion for the mutual-information rate in the realm of limited statistics
Tobias Kühn, Gabriel Mahuas, Ulisse Ferrari
Neurons in sensory systems encode stimulus information into their stochastic spiking response. The mutual information has been extensively applied to these systems to quantify the…