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researcher

Jiakai Wei

2 papers hereh-index 225 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

collaborators

2 papers

cs.LG2019

Forget the Learning Rate, Decay Loss

Jiakai Wei

In the usual deep neural network optimization process, the learning rate is the most important hyper parameter, which greatly affects the final convergence effect. The purpose of l…

cs.LG2018

Fast, Better Training Trick -- Random Gradient

Jiakai Wei

In this paper, we will show an unprecedented method to accelerate training and improve performance, which called random gradient (RG). This method can be easier to the training of…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.