Results 21 to 30 of about 8,974 (165)
Face Plastic Surgery Recognition Model Based on Neural Network and Meta-Learning Model [PDF]
Journal of Universal Computer Science, 2023 Facial recognition is a procedure of verifying a person's identity by using the face, which is considered one of the biometric security methods.
Rasha R. Atallah +2 more
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When Does MAML Objective Have Benign Landscape? [PDF]
2021 IEEE Conference on Control Technology and Applications (CCTA), 2021 The paper studies the complexity of the optimization problem behind the Model-Agnostic Meta-Learning (MAML) algorithm. The goal of the study is to determine the global convergence of MAML on sequential decision-making tasks possessing a common structure.
Molybog, Igor, Lavaei, Javad
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EW-CACTUs-MAML: A Robust Metalearning System for Rapid Classification on a Large Number of Tasks
Complexity, 2022 This study aims to develop a robust metalearning system for rapid classification on a large number of tasks. The model-agnostic metalearning (MAML) with the CACTUs method (clustering to automatically construct tasks for unsupervised metalearning) is ...
Wen-Feng Wang, Jingjing Zhang, Peng An
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Hypernetwork approach to Bayesian MAML
, 2022 arXiv admin note: text overlap with arXiv:2205 ...
Borycki, Piotr +5 more
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Convergence of Gradient-based MAML in LQR
2023 62nd IEEE Conference on Decision and Control (CDC), 2023 The main objective of this research paper is to investigate the local convergence characteristics of Model-agnostic Meta-learning (MAML) when applied to linear system quadratic optimal control (LQR). MAML and its variations have become popular techniques for quickly adapting to new tasks by leveraging previous learning knowledge in areas like ...
Musavi, Negin, Dullerud, Geir E.
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Journal of King Saud University: Computer and Information Sciences, 2023 Deep learning models perform well when there is enough data available for training, but otherwise the performance deteriorates rapidly owing to the so-called data shortage problem.
Jaeuk Moon +3 more
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Journal of Advances in Modeling Earth Systems, 2023 Representing subgrid variabilities of land surface processes and their upscaled effects is crucial for global climate modeling. Here, we implement a multiple atmosphere multiple land (MAML) framework in the superparamaterized version of E3SM (SP‐E3SM) to
Guangxing Lin +10 more
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Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
, 2022 Note: While finalizing the Github repository, we found an error in the testing script. We have reimplemented the code and updated the results in this version.
Abbas, Momin +4 more
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Evo-MAML: Meta-Learning with Evolving Gradient
Electronics, 2023 How to rapidly adapt to new tasks and improve model generalization through few-shot learning remains a significant challenge in meta-learning. Model-Agnostic Meta-Learning (MAML) has become a powerful approach, with offers a simple framework with excellent generality.
Jiaxing Chen +4 more
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Src kinase phosphorylates Notch1 to inhibit MAML binding [PDF]
Scientific Reports, 2018 AbstractNotch signaling is a form of intercellular communication which plays pivotal roles at various stages in development and disease. Previous findings have hinted that integrins and extracellular matrix may regulate Notch signaling, although a mechanistic basis for this interaction had not been identified.
Bryce LaFoya +3 more
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