LogoRA: Local-Global Representation Alignment for Robust Time Series Classification (TKDE 2024)
We propose the Local-Global Representation Alignment framework (LogoRA), which combines multi-scale convolutional and transformer encoders, integrates representations with a fusion module, and employs advanced alignment strategies, achieving state-of-the-art performance on four time-series datasets.
Sep 30, 2024
