[NeurIPS 2024 Series] Attention-Based Data Augmentation Techniques to Enhance Performance of Tabular Data Prediction

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.