2 papers
cs.LG2025
RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection
Chihiro Maru, Shoetsu Sato
Inspired by the success of large language models (LLMs) in natural language processing, recent research has explored the building of time series foundation models and applied them…
cs.CL2020
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation
Shoetsu Sato, Jin Sakuma, Naoki Yoshinaga +2
Neural network methods exhibit strong performance only in a few resource-rich domains. Practitioners, therefore, employ domain adaptation from resource-rich domains that are, in mo…