In controlled visual experiments, compositional generalization improves with concept diversity rather than dataset size, and linearly factored representations would in principle need only two observed combinations per concept value.
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Does Data Scaling Lead to Visual Compositional Generalization?
In controlled visual experiments, compositional generalization improves with concept diversity rather than dataset size, and linearly factored representations would in principle need only two observed combinations per concept value.