55 citations · 152 across the 23 of their papers we have counts for
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stat.ML2023★ 1 cited
mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization
Kayhan Behdin, Qingquan Song, Aman Gupta +7
Modern deep learning models are over-parameterized, where different optima can result in widely varying generalization performance. The Sharpness-Aware Minimization (SAM) technique…
stat.ML2018★ 1 cited
Distributed Newton Methods for Deep Neural Networks
Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen +5
Deep learning involves a difficult non-convex optimization problem with a large number of weights between any two adjacent layers of a deep structure. To handle large data sets or…