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Updated: Feb 15, 2026

A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

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大規模なデータセットの蒸留のためのソフトラベル剪定と定量化

Lingao Xiao, Yang He

    IEEE transactions on pattern analysis and machine intelligence
    |February 13, 2026
    PubMed
    まとめ

    データセットの蒸留は,大きなソフトラベルによる貯蔵上の課題に直面しています. LPQLDの方法は,ラベルのサイズを大幅に削減し,ImageNet.Netのような大規模なデータセットの精度を向上させます.

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