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[ICML 2024] Tabular Learning Research Trends

Research paper

Image published with the post by LG AI Research — Image from lgresearch.ai

LG AI Research's Data Intelligence Lab presented a paper on self-supervised learning for tabular data at ICML 2024, along with a review of 14 tabular domain-specific papers at the conference, including a detailed summary of the CHARMS methodology for image-tabular multimodal learning.

From the source
The Data Intelligence (DI) Lab at LG AI Research presented the paper “Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains” [1] at ICML 2024.
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[ICML 2024] Tabular Learning Research Trends

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