AI RESEARCH
Adaptive Data Dropout: Towards Self-Regulated Learning in Deep Neural Networks
arXiv CS.LG
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ArXi:2604.12945v1 Announce Type: new Deep neural networks are typically trained by uniformly sampling large datasets across epochs, despite evidence that not all samples contribute equally throughout learning. Recent work shows that progressively reducing the amount of