The paper explores the benefits of transformer-based models’ ability to learn in context from unstructured data during linear regression tasks. It conducts experiments to study the architecture of transformers and…
Continue readingThis paper presents a new contact and wearable sensing system for estimating the posture and joint angles of the human body using foot pressure distribution information from a sensor on…
Continue readingThe paper presents an in-depth analysis of the joint effect of task similarity and overparameterization on catastrophic forgetting in continual learning. The researchers focus on two-task continual linear regression, where…
Continue readingThis study by Yo Kobayashi and Yoshihiro Katagi from Osaka University aims to estimate wrist joint angles using ultrasound images. This method is expected to enhance the control performance of…
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