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24 Results
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Workshop
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Fri 10:00 |
Transfer Learning with Deep Tabular Models Roman Levin · Valeriia Cherepanova · Avi Schwarzschild · Arpit Bansal · C. Bayan Bruss · Tom Goldstein · Andrew Wilson · Micah Goldblum |
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Workshop
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Self-supervised Representation Learning Across Sequential and Tabular Features Using Transformers Rajat Agarwal · Anand Muralidhar · Agniva Som · Hemant Kowshik |
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Workshop
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Differentially Private Gradient Boosting on Linear Learners for Tabular Data Saeyoung Rho · Shuai Tang · Sergul Aydore · Michael Kearns · Aaron Roth · Yu-Xiang Wang · Steven Wu · Cedric Archambeau |
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Poster
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Thu 14:00 |
ADBench: Anomaly Detection Benchmark Songqiao Han · Xiyang Hu · Hailiang Huang · Minqi Jiang · Yue Zhao |
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Workshop
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SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training Gowthami Somepalli · Avi Schwarzschild · Micah Goldblum · C. Bayan Bruss · Tom Goldstein |
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Workshop
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MET: Masked Encoding for Tabular Data Kushal Majmundar · Sachin Goyal · Praneeth Netrapalli · Prateek Jain |
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Workshop
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Self Supervised Pre-training for Large Scale Tabular Data Sharad Chitlangia · Anand Muralidhar · Rajat Agarwal |
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Workshop
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Tabular Data Generation: Can We Fool XGBoost ? EL Hacen Zein · Tanguy Urvoy |
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Workshop
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Fri 12:45 |
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Noah Hollmann · Samuel Müller · Katharina Eggensperger · Frank Hutter |
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Workshop
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TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Noah Hollmann · Samuel Müller · Katharina Eggensperger · Frank Hutter |
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Poster
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Learning Enhanced Representation for Tabular Data via Neighborhood Propagation Kounianhua Du · Weinan Zhang · Ruiwen Zhou · Yangkun Wang · Xilong Zhao · Jiarui Jin · Quan Gan · Zheng Zhang · David P Wipf |
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Poster
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Tue 9:00 |
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation Sérgio Jesus · José Pombal · Duarte Alves · André Cruz · Pedro Saleiro · Rita Ribeiro · João Gama · Pedro Bizarro |