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Poster
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Thu 16:30
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Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach
Hao Zhang · Chenglin Li · Nuowen Kan · Ziyang Zheng · Wenrui Dai · Junni Zou · Hongkai Xiong
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Workshop
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Accumulating Data Avoids Model Collapse
Joshua Kazdan · Apratim Dey · Rylan Schaeffer · Matthias Gerstgrasser · Rafael Rafailov · David Donoho · Sanmi Koyejo
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Workshop
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Sat 15:30
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Josh Gardner (Apple):Toward Robust, Reliable, and Generalizable Tabular Data Models
Josh Gardner
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Workshop
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Auxiliary objectives improve generalization performance but reduce model specification for low-data neuroimaging-based brain age prediction
Donghyun Kim · Eloy Geenjaar · Vince Calhoun
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Workshop
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Tabular Data Generation using Binary Diffusion
Vitaliy Kinakh · Slava Voloshynovskiy
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Workshop
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Sat 10:35
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Large Language Models Engineer Too Many Simple Features for Tabular Data
Jaris Küken · Lennart Purucker · Frank Hutter
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Workshop
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Masked Modeling for Single-cell Clustering of scRNA‐seq Data
Shentong Mo
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Workshop
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Preventing Conflicting Gradients in Neural Temporal Point Process Models for Irregular Time Series Data
Tanguy Bosser · Souhaib Ben Taieb
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Workshop
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Unmasking Trees for Tabular Data
Calvin McCarter
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Workshop
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Sat 14:30
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Alan Yuille (Johns Hopkins University): Supervision of 3D-aware Models by Synthetic Data
Alan Yuille
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Workshop
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LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts
Yibo Zeng · Jiashuo Liu · Henry Lam · Hongseok Namkoong
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Poster
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Thu 16:30
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Retrieval & Fine-Tuning for In-Context Tabular Models
Valentin Thomas · Junwei Ma · Rasa Hosseinzadeh · Keyvan Golestan · Guangwei Yu · Maks Volkovs · Anthony Caterini
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