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Found 2 papers, 2 papers with code
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
With the recent success of deep learning, many tabular machine learning (ML) methods based on deep networks (e. g., Transformer, ResNet) have achieved competitive performance on tabular benchmarks.
UADB: Unsupervised Anomaly Detection Booster
This is a challenging task given the heterogeneous model structures and assumptions adopted by existing UAD methods.
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