Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency. - Elad Hoffer; Berry Weinstein; Itay Hubara; Tal Ben-Nun; Torsten Hoefler; Daniel Soudry (CoRR, 2019)

Selective sampling for accelerating training of deep neural networks. - Berry Weinstein; Shai Fine; Yacov Hel-Or (CoRR, 2019)

Margin-Based Regularization and Selective Sampling in Deep Neural Networks. - Berry Weinstein; Shai Fine; Yacov Hel-Or (CoRR, 2020)

Pairwise Margin Maximization for Deep Neural Networks. - Berry Weinstein; Shai Fine; Yacov Hel-Or (ICMLA, 2021)