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Update README_resmlp.md
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* [DeiT](README.md) (Data-Efficient Image Transformers), ICML 2021
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* [CaiT](README_cait.md) (Going deeper with Image Transformers), ICCV 2021 (Oral)
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* ResMLP (ResMLP: Feedforward networks for image classification with data-efficient training)
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* [PatchConvnet](README_patchconvnet.md) (Augmenting Convolutional networks with attention-based aggregation)
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ResMLP obtain good performance given its simplicity:
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