Abstract: In recent years, deep learning-based approaches have been increasingly adopted for cardinality estimation to enhance the accuracy of query optimization. However, there are still some ...
Breaking Taps on MSNOpinion
A problem so hard even Google relies on random chance
Today we're looking at HyperLogLog, an algorithm that leverages random chance to count the number of distinct items are in a ...
Released MoGe-2, a state-of-the-art model for monocular geometry, with these new capabilities in one unified model: Note: MoGe should be compatible with most ...
Abstract: Research on learned cardinality estimation has made significant progress in recent years. However, existing methods still face distinct challenges that hinder their practical deployment in ...
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