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Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting

Xie, ZK; He, FX; Fu, SP; Sato, I; Tao, DC; Sugiyama, M

Xie, ZK (corresponding author), Univ Tokyo, Bunkyo Ku, Tokyo 1130333, Japan.; Xie, ZK (corresponding author), RIKEN, Ctr AIP, Chuo Ku, Tokyo 1030027, Japan.

NEURAL COMPUTATION, 2021; 33 (8): 2163

Abstract

Deep learning is often criticized by two serious issues that rarely exist in natural nervous systems: overfitting and catastrophic forgetting. It can ......

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