Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm
Kanata Suzuki,Taro Sunagawa,Tomotake Sasaki,Takashi Katoh,Kanata Suzuki,Taro Sunagawa,Tomotake Sasaki,Takashi Katoh
Stream-based active learning (AL) is an efficient training data collection method, and it is used to reduce human annotation cost required in machine learning. However, it is difficult to say that the human cost is low enough because most previous studies have assumed that an oracle is a human with domain knowledge. In this study, we propose a method to replace a part of the oracle’s work in strea...
