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Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?
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Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?

Erin E. George
Michael Murray
W. Swartworth
Deanna Needell
    MLT
ArXiv (abs)PDFHTML

Papers citing "Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?"

1 / 1 papers shown
Title
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
Matthew Lau
Tian-Yi Zhou
Xiangchi Yuan
Jizhou Chen
Wenke Lee
Xiaoming Huo
22
0
0
16 Jun 2025

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