MUSE decouples reconstruction and semantic learning in visual tokenization via topological orthogonality, yielding SOTA generation quality and improved semantic performance over its teacher model.
Emerging properties in self-supervised vision transformers
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Representations learned by large AI models are converging toward a shared statistical model of reality.
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The Platonic Representation Hypothesis
Representations learned by large AI models are converging toward a shared statistical model of reality.