most citedEvaluation of the Automated Labeling Method for Taxonomic Nomenclature Through Prompt-Optimized Large Language Model

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cs.LG2026

Cognitive-Causal Multi-Task Learning with Psychological State Conditioning for Assistive Driving Perception

Keito Inoshita, Nobuhiro Hayashida, Akira Imanishi

Multi-task learning for advanced driver assistance systems requires modeling the complex interplay between driver internal states and external traffic environments. However, existi…

cs.LG2025

CIEGAD: Cluster-Conditioned Interpolative and Extrapolative Framework for Geometry-Aware and Domain-Aligned Data Augmentation

Keito Inoshita, Xiaokang Zhou, Akira Kawai +1

In practical deep learning deployment, the scarcity of data and the imbalance of label distributions often lead to semantically uncovered regions within the real-world data distrib…