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Workshop
AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing
Namjoon Suh · Xiaofeng Lin · Din-Yin Hsieh · Mehrdad Honarkhah · Guang Cheng
Poster
Thu 15:00 When Do Neural Nets Outperform Boosted Trees on Tabular Data?
Duncan McElfresh · Sujay Khandagale · Jonathan Valverde · Vishak Prasad C · Ganesh Ramakrishnan · Micah Goldblum · Colin White
Workshop
Continuous Diffusion for Mixed-Type Tabular Data
Markus Mueller · Kathrin Gruber · Dennis Fok
Workshop
Training-Free Generalization on Heterogeneous Tabular Data via Meta-Representation
Han-Jia Ye · Qile Zhou · De-Chuan Zhan
Workshop
Modeling string entries for tabular data prediction: do we need big large language models?
Leo Grinsztajn · Myung Jun Kim · Edouard Oyallon · Gael Varoquaux
Workshop
Fri 9:54 Training-Free Generalization on Heterogeneous Tabular Data via Meta-Representation
Han-Jia Ye · Qile Zhou · De-Chuan Zhan
Workshop
On Transferring Expert Knowledge from Tabular Data to Images
Jun-Peng Jiang · Han-Jia Ye · Leye Wang · Yang Yang · Yuan Jiang · De-Chuan Zhan
Workshop
On Transferring Expert Knowledge from Tabular Data to Images
Jun-Peng Jiang · Han-Jia Ye · Leye Wang · Yang Yang · Yuan Jiang · De-Chuan Zhan
Workshop
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data
Andrei Margeloiu · Nikola Simidjievski · Pietro Lió · Mateja Jamnik
Workshop
Fri 9:38 GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data
Andrei Margeloiu · Nikola Simidjievski · Pietro Lió · Mateja Jamnik
Workshop
InterpreTabNet: Enhancing Interpretability of Tabular Data Using Deep Generative Models and Large Language Models
Jacob Yoke Hong Si · Rahul Krishnan · Michael Cooper · Wendy Yusi Cheng
Workshop
Unnormalized Density Estimation with Root Sobolev Norm Regularization
Mark Kozdoba · Binyamin Perets · Shie Mannor