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Shared Is Not Enough: Predictor Width and Factor Readability Under Masked Latent Prediction
Masked latent prediction methods such as I-JEPA aim to learn predictable features, but what determines which information they retain is less clear. We built a simulator in which every factor behind an image is known, so a probe can measure how readable each factor remains after training. We trained
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