NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:5673
Title:Transfer Learning via Minimizing the Performance Gap Between Domains

The paper presents a novel theoretical analysis in the context of fully labeled data that is novel and sound. The methodological and algorithmic contributions based on a boosting strategy for a reweighed scheme is novel and shows good results. The experimental study can be improved with more baselines and datasets.