Abstract: Representation learning fundamentally determines the classification performance of models on tabular data. However, existing tabular data classification models typically focus on ...

The agency’s response to public records requests indicated potential violations of federal records laws, experts said. By Minho Kim Reporting from Washington The Department of Homeland Security ...

Mitra departs from the norm by being pretrained exclusively on synthetic data. Rather than relying on the limited and heterogeneous nature of real-world tabular datasets, Amazon researchers engineered ...

1 Department of ophthalmology, JiuJiang City Key Laboratory of Cell Therapy, Jiujiang No. 1 People’s Hospital, JiuJiang, Jiangxi, China 2 Department of Otolaryngology, The Seventh Affiliated Hospital, ...

1 School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China 2 Shandong Key Laboratory of Deep Sea Equipment Intelligent Networking, Qingdao, Shandong, ...

In one sentence: MLP-like models are still good baselines, and FT-Transformer is a new powerful adaptation of the Transformer architecture for tabular data problems.

Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as ...

Abstract: Despite the artificial intelligence (AI) revolution, deep learning has yet to achieve much success with tabular data due to heterogeneous feature space and limited sample sizes without ...