Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning

DOI10.1137/19M1236886zbMath1490.68195arXiv1805.07291OpenAlexW2970812740WikidataQ127280269 ScholiaQ127280269MaRDI QIDQ5025786

Wei Zhu, Bao Wang, Qiang Qiu, Ingrid Daubechies, Guillermo Sapiro, Jian-feng Lu

Publication date: 3 February 2022

Published in: SIAM Journal on Mathematics of Data Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1805.07291

zbMATH Keywords

deep neural networksdata-dependent regularizationintrinsic pattern learningnetwork memorization

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05)

Uses Software

• CIFAR
• FaceNet

Cites Work

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• Characterization of the subdifferential of some matrix norms
• Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
• 10.1162/153244302760200704
• 10.1162/153244303321897690

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