arXiv cs.LG
· Papers
Mitigating Early Training Collapse in CTR Models
arXiv:2607.09696v1 Announce Type: new Abstract: Deep neural models for click-through rate prediction often exhibit a sharp decline in validation performance immediately after the first training epoch despite continued improvement in training loss. This instability restricts effective learning and limits model performan