- 참고
[1] Kyungeun Lee, Ye Seul Sim, Hyeseung Cho, Suhee Yoon, Sanghyu Yoon, Woohyung Lim., Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains, ICML, 2024
[2] J Yan et al., T2G-Former: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction, AAAI, 2023[3] Y Gorishniy et al., Revisiting Deep Learning Models for Tabular Data, NeurIPS, 2021
[4] JP Jiang et al., Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images, ICML, 2024
[5] S Han et al., Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning, ICML, 2024
[6] B Breugel et al., Why Tabular Foundation Models Should Be a Research Priority?, ICML, 2024
