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Extremely coarse learning objectives induce human-aligned representations in AI vision models
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Extremely coarse learning objectives induce human-aligned representations in AI vision models
Artificial neural networks trained on visual tasks develop internal representations resembling those of the primate visual system, a discovery that has guided a decade of computational neuroscience. Research on building brain-aligned models has progressively embraced finer-grained learning ob
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