Learning with Limited Samples: Meta-Learning and Applications to Communication Systems-Reference-Cited by-同舟云学术

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Learning with Limited Samples: Meta-Learning and Applications to Communication Systems

Published:2023 Issue:2 Volume:17 Page:79-208
ISSN:1932-8346
Container-title:Foundations and Trends® in Signal Processing
language:en
Short-container-title:FNT in Signal Processing

Author:

Chen Lisha,Jose Sharu Theresa,Nikoloska Ivana,Park Sangwoo,Chen Tianyi,Simeone Osvaldo

Publisher

Now Publishers

Subject

Signal Processing

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. MeFunX: A novel meta-learning-based deep learning architecture to detect fungal infection directly from microscopic images;Franklin Open;2024-03

2. Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management;IEEE Transactions on Cognitive Communications and Networking;2023-10

3. An End-to-End Auto-Encoder Algorithm for Hardware-Impaired Transceivers Based on Meta and Joint Learning;2023 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom);2023-07-04

4. Meta-Learning Based Few Pilots Demodulation and Interference Cancellation For NOMA Uplink;2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2023-06-06

5. Label-Guided Compressed Prototypical Network for Incremental Few-Shot Text Classification;Natural Language Processing and Chinese Computing;2023

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