https://yestino.com/zh-CN/entities/xgboost-10b316与 XGBoost 相关的全部事件zh-CNhttps://yestino.com/zh-CN/events/tabpfn-and-tabicl-vs-tuned-xgboost-the-model-that-doesn-t-tr-d55fc8https://yestino.com/zh-CN/events/tabpfn-and-tabicl-vs-tuned-xgboost-the-model-that-doesn-t-tr-d55fc8Mon, 28 Sep 2026 02:27:40 GMTThe claim behind TabPFN and TabICL is that they predict on a table without ever training on it and still beat tuned boosting. 来源：Hacker News