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cs.LG2022★ 3 cited
Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization
Kayhan Behdin, Qingquan Song, Aman Gupta +4
Modern deep learning models are over-parameterized, where the optimization setup strongly affects the generalization performance. A key element of reliable optimization for these s…
stat.ML2022
Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization
David Durfee, Aman Gupta, Kinjal Basu
We introduce the notion of heterogeneous calibration that applies a post-hoc model-agnostic transformation to model outputs for improving AUC performance on binary classification t…