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Backpropagation's gradients, while predictive of high-level visual cortex activity, march to a different hierarchical beat than the brain itself, challenging its status as a biologically plausible learning mechanism.
Object-centric representations win at compositional generalization when data is scarce, diverse, or compute-constrained, challenging the supremacy of dense representations in visually rich settings.