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The hidden advantage of mask resampling: a theory of masked autoencoders

arXiv:2610.01578v1 Announce Type: new Abstract: Why can masked prediction learn useful representations that unmasked reconstruction misses? We study this question in a high-dimensional model of a masked autoencoder (MAE) trained on data with shared latent structure and heterogeneous noise. We prove…

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  1. 2026-10-02 04:00 · arXiv stat.ML
    The hidden advantage of mask resampling: a theory of masked autoencoders

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