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SKLP, Institute of Computing Technology, Chinese Academy of Sciences, Hong Kong Polytechnic University
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Achieve >97.5% of full-data VIT performance with only 16% of the data using ScalSelect, a surprisingly effective and scalable training-free data selection method.