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Poster
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Predicting Label Distribution from Multi-label Ranking
Yunan Lu · Xiuyi Jia
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Poster
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Unsupervised Domain Adaptation for Semantic Segmentation using Depth Distribution
Quanliang Wu · Huajun Liu
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Poster
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Thu 14:00
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Estimating and Explaining Model Performance When Both Covariates and Labels Shift
Lingjiao Chen · Matei Zaharia · James Zou
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Poster
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Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
Weijia Zhang · Xuanhui Zhang · hanwen deng · Min-Ling Zhang
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Poster
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Tue 9:00
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Robustness to Label Noise Depends on the Shape of the Noise Distribution
Diane Oyen · Michal Kucer · Nicolas Hengartner · Har Simrat Singh
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Poster
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Thu 9:00
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Invariance Learning based on Label Hierarchy
Shoji Toyota · Kenji Fukumizu
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Poster
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Thu 14:00
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Fairness Transferability Subject to Bounded Distribution Shift
Yatong Chen · Reilly Raab · Jialu Wang · Yang Liu
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Workshop
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Expert Selection in Distributed Gaussian Processes: A Multi-label Classification Approach
Hamed Jalali · Gjergji Kasneci
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Workshop
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Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack
Raksha Ramakrishna · György Dán
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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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Poster
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LOG: Active Model Adaptation for Label-Efficient OOD Generalization
Jie-Jing Shao · Lan-Zhe Guo · Xiao-wen Yang · Yu-Feng Li
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