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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Main Authors | , , , |
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Format | Journal Article |
Language | English |
Published |
15.09.2023
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Subjects | |
Online Access | Get full text |
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