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“MLP-Mixer as a Wide and Sparse MLP”, arXiv preprint.
Tomohiro Hayase & Ryo Karakida
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“Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias”, arXiv preprint.
Ryo Karakida, Tomoumi Takase, Tomohiro Hayase & Kazuki Osawa