# LG AI Research — [ICML 2024] Tabular Learning Research Trends

- Company: LG AI Research (lgresearch.ai)
- Announced: 2024-08-27
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://www.lgresearch.ai/blog/view?seq=466
- Record: https://forck.live/items/4834-icml-2024-tabular-learning-research-trends
- Subject: EXAONE

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.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=466:

> 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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Record: https://forck.live/items/4834-icml-2024-tabular-learning-research-trends
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md
