Learning to Query History: Nonstationary Classification via Learned Retrieval
DGX agentarXiv: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