Before revision:  This paper improves Neu-IR in such few-shot search scenarios by meta-adaptively training neural rankers with synthetic weak supervision.
After revision:  This paper improves Neu-IR , this paper presents MetaAdaptRank, a domain adaptive learning method that generalizes Neu-IR models from label-rich source domains to few-shot search scenarios by meta-adaptively training neural rankers with synthetic weak supervision.