10 citations · 10 across the 1 of their papers we have counts for
2 papers
cs.DB2021★ 10 cited
Flow-Loss: Learning Cardinality Estimates That Matter
Parimarjan Negi, Ryan Marcus, Andreas Kipf +4
Previous approaches to learned cardinality estimation have focused on improving average estimation error, but not all estimates matter equally. Since learned models inevitably make…
cs.LG2020
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series
Vincent Jacob, Fei Song, Arnaud Stiegler +3
Access to high-quality data repositories and benchmarks have been instrumental in advancing the state of the art in many experimental research domains. While advanced analytics tas…