Learning to Query History: Nonstationary Classification via Learned Retrieval
arXiv:2604.07027v1 Announce Type: new
Abstract: Nonstationarity is ubiquitous in practical classification settings, leading deployed models to perform poorly even when they generalize well to holdout sets available at training time. We address this by…