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Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias
Open Access
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- 唐木田 亮
- 国立研究開発法人産業技術総合研究所
Bibliographic Information
- Title
- Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias
- Author
- Ryo Karakida, Tomoumi Takase, Tomohiro Hayase & Kazuki Osawa
Journal
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- Proceedings of ICLR (PMLR)
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Proceedings of ICLR (PMLR) 202 1-19, 2023
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Details 詳細情報について
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- CRID
- 1010865643904377473
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- Article Type
- journal article
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- Data Source
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- KAKEN
