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Workshop
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Forecasting labels under distribution-shift for machine-guided sequence design
Lauren B Wheelock · Stephen Malina · Jeffrey Gerold · Sam Sinai
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Workshop
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Sat 7:35
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Machine-learning, distribution shifts and extrapolation in the Earth System
Markus Reichstein
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Poster
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Tue 9:00
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Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
Tim Pearce · Jong-Hyeon Jeong · yichen jia · Jun Zhu
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Workshop
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Empirical Study on Optimizer Selection for Out-of-Distribution Generalization
Hiroki Naganuma · Kartik Ahuja · Ioannis Mitliagkas · Shiro Takagi · Tetsuya Motokawa · Rio Yokota · Kohta Ishikawa · Ikuro Sato
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Poster
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Thu 14:00
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MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Zhang · Sergey Levine · Chelsea Finn
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Workshop
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Explanation Shift: Detecting distribution shifts on tabular data via the explanation space
Carlos Mougan · Klaus Broelemann · Gjergji Kasneci · Thanassis Tiropanis · Steffen Staab
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Workshop
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Sat 12:50
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CAREER: Economic Prediction of Labor Sequence Data Under Distribution Shift
Keyon Vafa · Emil Palikot · Tianyu Du · Ayush Kanodia · Susan Athey · David Blei
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Workshop
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Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification
Randolph Linderman · Jingyang Zhang · Nathan Inkawhich · Hai Li · Yiran Chen
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Workshop
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Sat 14:10
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Bringing real-world data to bear in addressing distribution shifts: a sociolinguistically-informed analysis of ASR errors
Alicia Beckford Wassink
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Workshop
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An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation
Ziquan Liu · Yi Xu · Yuanhong Xu · Qi Qian · Hao Li · Rong Jin · Xiangyang Ji · Antoni Chan
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Poster
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Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning
Tomoya Murata · Taiji Suzuki
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Workshop
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Sat 10:30
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Federated Learning for Appearance-based Gaze Estimation in the Wild
Mayar Elfares · Zhiming Hu · Pascal Reisert · Andreas Bulling · Ralf Küsters
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