Shi, Weishi

10 publications

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

IJCAI 2024 Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation Riyad Bin Rafiq, Weishi Shi, Mark V. Albert

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

AISTATS 2021 Active Learning with Maximum Margin Sparse Gaussian Processes Weishi Shi, Qi Yu

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

NeurIPS 2020 Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning Weishi Shi, Xujiang Zhao, Feng Chen, Qi Yu

ICML 2019 Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning Weishi Shi, Qi Yu

NeurIPS 2019 Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-Class Active Learning Weishi Shi, Qi Yu