Minhyuk Seo

GenOL: Generating Diverse Examples for Name-only Online Learning

2024 · arXiv (Cornell University)

Online learning methods often rely on supervised data. However, under data distribution shifts, such as in continual learning (CL), where continuously arriving online data streams incorporate new concepts (e.g., classes), real-time manual annotation is impractical …