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20232025
most citedA Closer Look at Deep Learning Methods on Tabular Datasets

7 citations · 10 across the 6 of their papers we have counts for

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cs.LG2023★ 2 cited

Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective

Han-Jia Ye, Qi-Le Zhou, Huai-Hong Yin +2

Pre-training is prevalent in deep learning for vision and text data, leveraging knowledge from other datasets to enhance downstream tasks. However, for tabular data, the inherent h…

cs.LG2023

Unlocking the Transferability of Tokens in Deep Models for Tabular Data

Qi-Le Zhou, Han-Jia Ye, Le-Ye Wang +1

Fine-tuning a pre-trained deep neural network has become a successful paradigm in various machine learning tasks. However, such a paradigm becomes particularly challenging with tab…