How iteration order influences convergence and stability in deep learning
arXiv:2502.01557v3 Announce Type: replace-cross
Abstract: Despite exceptional achievements, training neural networks remains computationally expensive and is often plagued by instabilities that can degrade convergence. While learning rate schedules ca…