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Deep Support Vectors
March 27, 2024, 4:41 a.m. | Junhoo Lee, Hyunho Lee, Kyomin Hwang, Nojun Kwak
cs.LG updates on arXiv.org arxiv.org
Abstract: While the success of deep learning is commonly attributed to its theoretical equivalence with Support Vector Machines (SVM), the practical implications of this relationship have not been thoroughly explored. This paper pioneers an exploration in this domain, specifically focusing on the identification of Deep Support Vectors (DSVs) within deep learning models. We introduce the concept of DeepKKT conditions, an adaptation of the traditional Karush-Kuhn-Tucker (KKT) conditions tailored for deep learning. Through empirical investigations, we illustrate …
abstract arxiv cs.ai cs.lg deep learning domain exploration identification machines paper practical relationship success support support vector machines svm type vector vectors
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