Results 31 to 40 of about 12,738,743 (318)
FLrce: Resource-Efficient Federated Learning With Early-Stopping Strategy [PDF]
IEEE Transactions on Mobile Computing, 2023 Federated Learning (FL) achieves great popularity in the Internet of Things (IoT) as a powerful interface to offer intelligent services to customers while maintaining data privacy. Under the orchestration of a server, edge devices (also called clients in
Ziru Niu, Hai Dong, Kai A. Qin, Tao Gu
semanticscholar +1 more source
IEEE Access, 2023 To improve deep-learning performance in low-resource settings, many researchers have redesigned model architectures or applied additional data (e.g., external resources, unlabeled samples).
Hongseok Choi, Hyunju Lee
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PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels [PDF]
IEEE International Conference on Computer Vision, 2022 Convolutional Neural Networks (CNNs) are powerful in learning patterns of different vision tasks, but they are sensitive to label noise and may overfit to noisy labels during training.
Huaxi Huang +6 more
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Early Stopping for Deep Image Prior
Trans. Mach. Learn. Res., 2021 Deep image prior (DIP) and its variants have showed remarkable potential for solving inverse problems in computer vision, without any extra training data. Practical DIP models are often substantially overparameterized. During the fitting process, these models learn mostly the desired visual content first, and then pick up the potential modeling and ...
Hengkang Wang +5 more
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IEEE Access, 2020 Various imaging parameters in X-ray computed tomography (CT) should be examined and optimized by task-based assessment of human observer performance. Recently, convolutional neural networks (CNNs) have been introduced as anthropomorphic model observers ...
Byeongjoon Kim, Minah Han, Jongduk Baek
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Deep Learning dengan Teknik Early Stopping untuk Mendeteksi Malware pada Perangkat IoT
Jurnal Teknologi Informasi dan Ilmu KomputerPerkembangan pesat teknologi, khususnya Internet of Things (IoT), telah memberikan dampak signifikan dalam berbagai sektor kehidupan manusia. IoT memungkinkan pertukaran data antar perangkat secara otomatis melalui jaringan internet, mengubah cara ...
Iwang Moeslem Andika Surya +2 more
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Early-stopped neural networks are consistent
CoRR, 2021 This work studies the behavior of shallow ReLU networks trained with the logistic loss via gradient descent on binary classification data where the underlying data distribution is general, and the (optimal) Bayes risk is not necessarily zero. In this setting, it is shown that gradient descent with early stopping achieves population risk arbitrarily ...
Ziwei Ji, Justin D. Li, Matus Telgarsky
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Safety risks monitoring and warning throughout the full lifecycle of mine air stopping
Gong-kuang zidonghua, 2023 Mine air stopping is a key facility separating production systems from abandoned ones. Ensuring full lifecycle risk management is of great significance for ensuring safe production. Based on the current status of comprehensive control technology for mine
ZHOU Fubao +4 more
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Unsupervised deep learning seismic data random noise attenuation with early stopping
Journal of Geophysics and Engineering, 2023 Suppression of seismic random noise is one critical step in seismic data processing. In recent years, the outstanding ability of deep learning to denoise seismic data is impressive.
Zi-Tai Xu, Bang-Yu Wu
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Overestimation of benefit when clinical trials stop early: a simulation study
Trials, 2022 Background Stopping trials early because of a favourable interim analysis can exaggerate benefit. This study simulated trials typical of those stopping early for benefit in the real world and estimated the degree to which early stopping likely ...
Sharon Liu, Scott R. Garrison
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