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20192021
most citedMix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency

3 citations · 7 across the 3 of their papers we have counts for

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Showing 2020Show all

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cs.LG2020★ 2 cited

Margin-Based Regularization and Selective Sampling in Deep Neural Networks

Berry Weinstein, Shai Fine, Yacov Hel-Or

We derive a new margin-based regularization formulation, termed multi-margin regularization (MMR), for deep neural networks (DNNs). The MMR is inspired by principles that were appl…