GBDTs
PulseAugur coverage of GBDTs — every cluster mentioning GBDTs across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New research explores efficient data labeling for tabular foundation models
A new research paper introduces active in-context learning techniques for tabular foundation models (TFMs). The study, titled "When, Where, How: Active In-Context Learning for Tabular Foundation Models," explores how to…
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New iLTM model unifies deep learning and tree methods for tabular data
Researchers have introduced iLTM, an Integrated Large Tabular Model designed to enhance deep learning applications for tabular data. This new architecture combines various components, including tree-derived embeddings, …
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New HDE-Net Model Enhances Tabular Classification with Hyperbolic Geometry
Researchers have developed HDE-Net, a novel manifold-constrained deep neural network designed to improve tabular classification. This model utilizes a hyperbolic space embedding and a soft decision routing mechanism to …