Yu, Dayou

6 publications

ICML 2024 Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-Shot Subset Selection Abhinab Acharya, Dayou Yu, Qi Yu, Xumin Liu

NeurIPS 2024 Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity Dayou Yu, Minghao Li, Weishi Shi, Qi Yu

NeurIPS 2023 Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice Dayou Yu, Weishi Shi, Qi Yu

ICML 2023 Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning Dayou Yu, Weishi Shi, Qi Yu

AAAI 2023 STARS: Spatial-Temporal Active Re-Sampling for Label-Efficient Learning from Noisy Annotations Dayou Yu, Weishi Shi, Qi Yu

NeurIPS 2021 A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning Weishi Shi, Dayou Yu, Qi Yu