Reinforcement Learning-Guided Semi-Supervised Learning

arXiv:2405.01760v1 Announce Type: new
Abstract: In recent years, semi-supervised learning (SSL) has gained significant attention due to its ability to leverage both labeled and unlabeled data to improve model performance, especially when labeled data is scarce. However, most current SSL methods rely on heuristics or predefined rules for generating pseudo-labels and leveraging unlabeled data. They are limited to exploiting loss functions and regularization methods within the standard norm. In this paper, we propose a novel Reinforcement Learning (RL) Guided SSL …

abstract arxiv attention cs.ai cs.lg current data heuristics however labels performance reinforcement reinforcement learning rules semi-supervised semi-supervised learning ssl supervised learning type