# LG AI Research — [NeurIPS 2024 Series] Attention-Based Data Augmentation Techniques to Enhance Performance of Tabular Data Prediction

- Company: LG AI Research (lgresearch.ai)
- Announced: 2025-01-24T00:00:00+00:00
- Category: research-paper
- Subject: EXAONE
- Source: https://www.lgresearch.ai/blog/view?seq=520
- Record: https://forck.live/items/4810-neurips-2024-series-attention-based-data-augmentation-techniques-to-enhance

LG AI Research presented their paper 'AGATa: Attention-Guided Augmentation for Tabular Data in Contrastive Learning' at the NeurIPS 2024 TRL Workshop, introducing a novel attention-guided data augmentation technique to improve contrastive learning performance on tabular data while preserving its structural features.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=520:

> At the NeurIPS 2024 TRL Workshop, LG AI Research's Data Intelligence (DI) Lab published a paper titled “AGATa: Attention-Guided Augmentation for Tabular Data in Contrastive Learning,”

---

Record: https://forck.live/items/4810-neurips-2024-series-attention-based-data-augmentation-techniques-to-enhance
Catalogue: https://forck.live/llms.txt
Feed: https://forck.live/feed.md