Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm. - Kanata Suzuki; Taro Sunagawa; Tomotake Sasaki; Takashi Katoh (IROS, 2021)

Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss. - Akira Sakai; Taro Sunagawa; Spandan Madan; Kanata Suzuki; Takashi Katoh; Hiromichi Kobashi; Hanspeter Pfister; Pawan Sinha; Xavier Boix; Tomotake Sasaki (CoRR, 2021)

Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations. - Akira Sakai; Taro Sunagawa; Spandan Madan; Kanata Suzuki; Takashi Katoh; Hiromichi Kobashi; Hanspeter Pfister; Pawan Sinha; Xavier Boix; Tomotake Sasaki (Neural Networks, 2022)

Rethinking VLMs and LLMs for Image Classification. - Avi Cooper; Keizo Kato; Chia-Hsien Shih; Hiroaki Yamane; Kasper Vinken; Kentaro Takemoto; Taro Sunagawa; Hao-Wei Yeh; Jin Yamanaka; Ian Mason; Xavier Boix (CoRR, 2024)