Jiezhi Xu

An Efficient Sample Utilization Method for Deep Learning Based on Class Uncertainty

Deep learning has achieved success across many domains when sufficient training samples are available. However, the commonly used mini-batch stochastic gradient descent (SGD) training paradigm treats each sample equally, resulting in massive computational waste on samples that are easily identifiabl…