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Fine-grained dataset distillation can achieve superior performance by focusing on localized evidence rather than just global statistics.
By eliminating the need for iterative optimization, ProtoBlend achieves high-quality video dataset distillation while dramatically reducing computational costs.
SRG transforms dataset distillation by aligning generative samples with the discriminative geometry of self-supervised representations, achieving superior performance across multiple benchmarks.
Expert-Following Strategies simultaneously boost investment returns and relevance, breaking the traditional trade-off in financial recommendations.
