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cs.LG2023
RoTaR: Efficient Row-Based Table Representation Learning via Teacher-Student Training
Zui Chen, Lei Cao, Sam Madden
We propose RoTaR, a row-based table representation learning method, to address the efficiency and scalability issues faced by existing table representation learning methods. The ke…
cs.LG2023
RITA: Group Attention is All You Need for Timeseries Analytics
Jiaming Liang, Lei Cao, Samuel Madden +2
Timeseries analytics is of great importance in many real-world applications. Recently, the Transformer model, popular in natural language processing, has been leveraged to learn hi…
cs.LG2023
Interpretable Outlier Summarization
Yu Wang, Lei Cao, Yizhou Yan +1
Outlier detection is critical in real applications to prevent financial fraud, defend network intrusions, or detecting imminent device failures. To reduce the human effort in evalu…