Results 51 to 60 of about 36,144 (280)
Population-based Evolutionary Distributed SGD [PDF]
, 2020 Neural model training is a time-consuming task where exploiting parallelism is of utmost importance. Employing data-parallelism in stochastic gradient descent (SGD) by partitioning the training dataset is a popular approach; however, algorithmic ...
Grot, Boris; id_orcid +3 more
core +1 more source
Explainable human‐in‐the‐loop healthcare image information quality assessment and selection
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Smart healthcare applications cannot be separated from healthcare data analysis and the interactive interpretability between data and model. A human‐in‐the‐loop active learning approach is introduced to reduce the cost of healthcare data labelling by evaluating the information quality of unlabelled medical data and then screening the high ...
Yang Li, Sezai Ercisli
wiley +1 more source
Smart GreenGrocer: Automatic Vegetable Type Classification Using the CNN Algorithm
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 In the food industry, separating vegetables is done by visually trained professionals. However, because it takes plenty of time to sort a large number of different types of vegetables, human errors might arise at any time, and using human resources is ...
Raden Bagus Muhammad AdryanPutra Adhy Wijaya +2 more
doaj +1 more source
Why (and When) does Local SGD Generalize Better than SGD?
, 2023 Local SGD is a communication-efficient variant of SGD for large-scale training, where multiple GPUs perform SGD independently and average the model parameters periodically. It has been recently observed that Local SGD can not only achieve the design goal
Lyu, Kaifeng +3 more
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CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Autonomous vehicles are required to operate in an uncertain environment. Recent advances in computational intelligence techniques make it possible to understand driving scenes in various environments by using a semantic segmentation neural network, which assigns a class label to each pixel.
Yining Hua +4 more
wiley +1 more source
Al-Muamalat, 2019 ABSTRAK Untuk mencapai peningkatan kualitas kinerja dari sumber daya manusia, perlu didukung dengan adanya motivasi kerja dan insentif yang dapat dijadikan sebagai pegangan bagi setiap pegawai agar dapat bekerja secara optimal.
Neneng Hartati, Mila Badriyah
doaj +1 more source
The Heavy-Tail Phenomenon in SGD
CoRR, 2020 In recent years, various notions of capacity and complexity have been proposed for characterizing the generalization properties of stochastic gradient descent (SGD) in deep learning. Some of the popular notions that correlate well with the performance on unseen data are (i) the `flatness' of the local minimum found by SGD, which is related to the ...
Gurbuzbalaban, Mert +2 more
openaire +5 more sources
Advanced Science, EarlyView.We demonstrate that the inverse relationship between viscosity and conductivity in structured electrolytes can be circumvented by leveraging their hydrogen bonding networks for Grotthuss proton transport. Using a mixture of imidazole and levulinic acid, we show that the existence of extended hydrogen‐bonded chains that can rapidly reorient result in ...
Benworth B. Hansen +15 more
wiley +1 more source
Al-Muamalat, 2019 ABSTRAK Ada beberapa kendala yang dihadapi UMKM di antaranya adalah keterkaitan dengan prospek usaha yang kurang jelas serta perencanaan, visi dan misi yang belum mantap.
Dadang Husen Sobana, Mia Lasmi Wardiyah
doaj +1 more source
Advanced Science, EarlyView.An eight‐stream 2.5D Transformer integrates complementary PET metabolic and CT morphologic information to estimate spread‐through‐air‐spaces risk before surgery in lung adenocarcinoma. The model generalizes across independent centers, while its continuous risk score independently stratifies progression‐free survival, supporting further prospective ...
Xin‐Yu Zhu +7 more
wiley +1 more source