Γ-Razor: Hardness-Aware Dataset Pruning for Efficient Neural Network Training
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS（2024）
关键词
Training,Complexity theory,Computational modeling,Data models,Data mining,Adaptation models,Robustness,Energy consumption,Noise measurement,Loss measurement,Dataset pruning,energy efficiency,hard sample mining,inverse self-paced learning (SPL)
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