J. Cava

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20192022

most citedA Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization

2 citations · 2 across the 3 of their papers we have counts for

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cs.LG2022

AugLoss: A Robust Augmentation-based Fine Tuning Methodology

Kyle Otstot, Andrew Yang, John Kevin Cava +1

Deep Learning (DL) models achieve great successes in many domains. However, DL models increasingly face safety and robustness concerns, including noisy labeling in the training sta…

cs.LG2019★ 2 cited

A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization

Tyler Sypherd, Mario Diaz, John Kevin Cava +3

We introduce a tunable loss function called $α$ -loss, parameterized by $α \in (0, \infty]$ , which interpolates between the exponential loss ( $α = 1/2$ ), the log-loss ( $α = 1$ ), and the…