Stream-Based Active Distillation for Scalable Model Deployment

Author:

Manjah Dani1,Cacciarelli Davide2,Benkedadra Mohamed3,Standaert Baptiste1,De Hertaing Gauthier Rotsart1,Macq Benoît1,Galland Stéphane4,De Vleeschouwer Christophe1

Affiliation:

1. Université Catholique de Louvain

2. Technical University of Denmark

3. Université de Mons

4. Université de Technologie de Belfort Montbéliard

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Addressing Data Distribution Shifts in Online Machine Learning Powered Smart City Applications Using Augmented Test-Time Adaptation;IEEE Internet of Things Magazine;2024-07

2. Real-Time Sampling Strategies for Regression with Irrelevant Features;International Journal of Semantic Computing;2024-05-29

3. Active learning for data streams: a survey;Machine Learning;2023-11-20

4. A hierarchical multivariate denoising diffusion model;Information Sciences;2023-11

5. Stream-Based Active Learning for Regression with Dynamic Feature Selection;2023 Fifth International Conference on Transdisciplinary AI (TransAI);2023-09-25

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