CEO Trains Autoencoder to Zero Loss Using Self-Evaluation Signal
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Many users call the autoencoder that achieves zero loss via self-judged visual similarity insanely cool and a fantastic improvement on JEPA thanks to its clever perceptual feature matching without a pretrained network.