MacrOData supplies three large, curated benchmark suites totaling 2,446 datasets for tabular outlier detection, complete with standardized splits, metadata, and a public leaderboard.
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CTAD calibrates anomaly scores via optimal transport distance on empirical and K-means structural distributions of normal data, yielding consistent gains across 34 tabular datasets and seven detector types.
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MacrOData: New Benchmarks of Thousands of Datasets for Tabular Outlier Detection
MacrOData supplies three large, curated benchmark suites totaling 2,446 datasets for tabular outlier detection, complete with standardized splits, metadata, and a public leaderboard.
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Calibrating Tabular Anomaly Detection via Optimal Transport
CTAD calibrates anomaly scores via optimal transport distance on empirical and K-means structural distributions of normal data, yielding consistent gains across 34 tabular datasets and seven detector types.