Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch
and Inductive Inference
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch
and Inductive Inference
Open-world semi-supervised learning (OWSSL) extends conventional semi-supervised learning to open-world scenarios by taking account of novel categories in unlabeled datasets. Despite the recent advancements in OWSSL, the success often relies on the assumptions that 1) labeled and unlabeled datasets share the same balanced class prior distribution, which does not generally …