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Workshop
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Agnostic Architecture for Heterogeneous Multi-Environment Reinforcement Learning
Kukjin Kim · Changhee Joo
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Workshop
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Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
Yuqin Yang · Saber Salehkaleybar · Negar Kiyavash
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Workshop
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Zephyr : Stitching Heterogeneous Training Data with Normalizing Flow for Photometric Redshift Inference
Zechang Sun · Joshua Speagle · Song Huang · Yuan-Sen Ting · Zheng Cai
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Workshop
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Agnostic Architecture for Heterogeneous Multi-Environment Reinforcement Learning
Kukjin Kim · Changhee Joo
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Workshop
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Learning Inter-Graph Interactions Between Heterogeneous Substructures of Chemical Systems
Gyoung S. Na
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Workshop
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HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning
Shaunak Halbe · James S Smith · Junjiao Tian · Zsolt Kira
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Workshop
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Training-Free Generalization on Heterogeneous Tabular Data via Meta-Representation
Han-Jia Ye · Qile Zhou · De-Chuan Zhan
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Workshop
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Generating Data Augmentation Queries Using Large Language Models
Christopher Buss · Jasmin Mousavi · Mikhail Tokarev · Arash Termehchy · David Maier · Stefan Lee
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Workshop
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CryoSTAR: Cryo-EM Heterogeneous Reconstruction of Atomic Models with Structural Regularization
Yi Zhou · Yilai Li · Jing Yuan · Fei YE · Quanquan Gu
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Workshop
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CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations
Mehdi Naouar · Gabriel Kalweit · Anusha Klett · Yannick Vogt · paula silvestrini · Diana Laura Infante Ramirez · Roland Mertelsmann · Joschka Boedecker · Maria Kalweit
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Workshop
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Fed3R: Recursive Ridge Regression for Federated Learning with strong pre-trained models
Eros Fanì · Raffaello Camoriano · Barbara Caputo · Marco Ciccone
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Workshop
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Heterogeneous LoRA for Federated Fine-tuning of On-device Foundation Models
Yae Jee Cho · Luyang Liu · Zheng Xu · Aldi Fahrezi · Matt Barnes · Gauri Joshi
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