TabArena launches a dynamic, updatable benchmarking system for tabular ML that shows boosted trees remain competitive, deep learning matches them under larger budgets with ensembling, foundation models excel on small data, and cross-model ensembles advance SOTA while flagging validation overfitting.
Pytorch tabular: A framework for deep learning with tabular data
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Benchmark finds some deep learning models match gradient-boosted trees on LIGO glitch classification with fewer parameters and partially consistent feature importance across architectures.
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TabArena: A Living Benchmark for Machine Learning on Tabular Data
TabArena launches a dynamic, updatable benchmarking system for tabular ML that shows boosted trees remain competitive, deep learning matches them under larger budgets with ensembling, foundation models excel on small data, and cross-model ensembles advance SOTA while flagging validation overfitting.
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Evaluating Deep Learning Models for Multiclass Classification of LIGO Gravitational-Wave Glitches
Benchmark finds some deep learning models match gradient-boosted trees on LIGO glitch classification with fewer parameters and partially consistent feature importance across architectures.