Tag: adamcb

ADAM Optimization with Adaptive Batch Selection arXiv:2512.06795v1 Announce Type: new Abstract: Adam is a widely used optimizer in neural network training due to its adaptive learning rate. However, because different data samples influence model updates to varying degrees, treating them equally can lead to inefficient convergence. To address this, a prior work proposed adapting the…