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"Denoising Cosine Similarity: A Theory-Driven Approach for Efficient ..."

Takumi Nakagawa et al. (2023)

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DOI: 10.48550/ARXIV.2304.09552

access: open

type: Informal or Other Publication

metadata version: 2023-04-26

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  - journals/corr/abs-2304-09552
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  - https://dblp.org/rec/journals/corr/abs-2304-09552
Takumi Nakagawa, Yutaro Sanada, Hiroki Waida, Yuhui Zhang, Yuichiro Wada, Kosaku Takanashi, Tomonori Yamada, Takafumi Kanamori:
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning. CoRR abs/2304.09552 (2023)

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