Replacing softmax with ReLU in Vision Transformers

Previous research observed accuracy degradation when replacing the attention softmax with a point-wise activation such as ReLU. In the context of vision transformers, we find that this degradation is mitigated when dividing by sequence length. Our experiments training small to large vision transform...

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Bibliographic Details
Main Authors Wortsman, Mitchell, Lee, Jaehoon, Gilmer, Justin, Kornblith, Simon
Format Journal Article
LanguageEnglish
Published 15.09.2023
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