2024
Mean Field Theory in Deep Metric Learning
ICLR 2024poster
In this paper, we explore the application of mean field theory, a technique from statistical physics, to deep metric learning and address the high training complexity commonly associated with conventional metric learning loss functions. By adapting mean field theory for deep metric learning, we deve…