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SRG transforms dataset distillation by aligning generative samples with the discriminative geometry of self-supervised representations, achieving superior performance across multiple benchmarks.
Dynamic graphs can unlock a 10% boost in classification accuracy for Implicit Neural Representations, redefining how we approach neural network weight spaces.
