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cs.LG2019★ 2 cited
Inherent Weight Normalization in Stochastic Neural Networks
Georgios Detorakis, Sourav Dutta, Abhishek Khanna +3
Multiplicative stochasticity such as Dropout improves the robustness and generalizability of deep neural networks. Here, we further demonstrate that always-on multiplicative stocha…
cs.LG2018
Contrastive Hebbian Learning with Random Feedback Weights
Georgios Detorakis, Travis Bartley, Emre Neftci
Neural networks are commonly trained to make predictions through learning algorithms. Contrastive Hebbian learning, which is a powerful rule inspired by gradient backpropagation, i…