Feb. 23, 2024, 5:42 a.m. | David Bonet, Daniel Mas Montserrat, Xavier Gir\'o-i-Nieto, Alexander G. Ioannidis

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.14335v1 Announce Type: new
Abstract: Training deep learning models and performing hyperparameter tuning can be computationally demanding and time-consuming. Meanwhile, traditional machine learning methods like gradient-boosting algorithms remain the preferred choice for most tabular data applications, while neural network alternatives require extensive hyperparameter tuning or work only in toy datasets under limited settings. In this paper, we introduce HyperFast, a meta-trained hypernetwork designed for instant classification of tabular data in a single forward pass. HyperFast generates a task-specific neural network …

arxiv classification cs.ai cs.lg data instant stat.ml tabular tabular data type

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