Natural Selection (NS) dynamically reweights DNN training losses by estimating each sample's competitive status inside groups assembled as composite images.
Niching genetic programming to learn actions for deep reinforcement learning in dynamic flexible scheduling
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Evolution-Inspired Sample Competition for Deep Neural Network Optimization
Natural Selection (NS) dynamically reweights DNN training losses by estimating each sample's competitive status inside groups assembled as composite images.