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cs.LG2026
Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning
Kohei Obata, Taichi Murayama, Zheng Chen +2
Multi-mode tensor time series (TTS) can be found in many domains, such as search engines and environmental monitoring systems. Learning representations of a TTS benefits various ap…
cs.LG2021★ 21 cited
Dataset of Fake News Detection and Fact Verification: A Survey
Taichi Murayama
The rapid increase in fake news, which causes significant damage to society, triggers many fake news related studies, including the development of fake news detection and fact veri…
cs.LG2021
Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning
Taichi Murayama, Shoko Wakamiya, Eiji Aramaki
The accurate forecasting of infectious epidemic diseases such as influenza is a crucial task undertaken by medical institutions. Although numerous flu forecasting methods and model…