11 Results

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