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Investigating MAML and ProtoNet Algorithms for Few-shot Learning Problems
2020Deep neural networks have proven to be very effective for image-related problems. However, their success is mainly attributed to the large-scale annotated datasets that have been used to train them. Convolutional neural networks which are special type of neural networks have achieved very good results for visual recognition problems and therefore have ...
GÜLCÜ, Ayla, ALKAN, Muhammet
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Beyond Consent: The MAMLS in the Room
The American Journal of BioethicsJimin Rhim +3 more
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The Significance of the Written Word in European–Mamlūk Diplomatic Missions
Al-Masaq: Islam and the Medieval Mediterranean, 2020Alessandro
exaly
Micro-Expression Recognition Based on MAML Meta-Learning Algorithm
2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta), 2022Bo Wan +3 more
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MAML–SGD: a reliable airline rescheduling algorithm for small-sample learning based on MAML and SGD
The Journal of SupercomputingZhiyuan Shen, Qinshuai Zhao, Yiyang Liu
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Predicting residents’ travel mode choice based on MAML
Journal of Intelligent Information SystemsYeyong Ye, Jing Wang, Zhilin Lai
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