Adaptive Data Dropout: Towards Self-Regulated Learning in Deep Neural Networks
arXiv:2604.12945v1 Announce Type: cross
Abstract: 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 progr…