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Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias
  and Variance

Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance

23 February 2020
Matthew Almeida
Wei Ding
S. Crouter
Ping Chen
ArXivPDFHTML

Papers citing "Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance"

2 / 2 papers shown
Title
Exploring the Learning Difficulty of Data Theory and Measure
Exploring the Learning Difficulty of Data Theory and Measure
Weiyao Zhu
Ou Wu
Fengguang Su
Yingjun Deng
32
5
0
16 May 2022
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
208
1,020
0
26 Mar 2018
1