Results 1 to 10 of about 5,483 (164)
Applied Sciences, 2021 The current evolution of deep learning requires further optimization in terms of accuracy and time. From the perspective of new requirements, AutoML is an area that could provide possible solutions.
Ha Yoon Song
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IEEE Access, 2022 We present a Model Uncertainty-aware Differentiable ARchiTecture Search ( $\mu $ DARTS) that optimizes neural networks to simultaneously achieve high accuracy and low uncertainty. We introduce concrete dropout within DARTS cells and include a Monte-Carlo
Biswadeep Chakraborty +1 more
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RARTS: An Efficient First-Order Relaxed Architecture Search Method
IEEE Access, 2022 Differentiable architecture search (DARTS) is an effective method for data-driven neural network design based on solving a bilevel optimization problem.
Fanghui Xue, Yingyong Qi, Jack Xin
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Malaysian Journal of Learning and Instruction, 2021 Purpose – The present study examined the effect of Directed Activity Related to Texts (DARTs) and gender on student achievement in qualitative analysis in chemistry.
Mohamad Mahathir Shamsulbahri +1 more
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Exploration of double-dart injection technique as a supplemental application for remote drug delivery system for zoo and wild animals [PDF]
Veterinary World, 2022 Background and Aim: Remote drug delivery has become an essential tool for safely delivering medication and vaccines to free-ranging, non-domestic, or dangerous animals. All dart guns currently use a single dart per injection, and it might occasionally be
Rattapan Pattanarangsan +3 more
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Motor Program Transformation of Throwing Dart from the Third-Person Perspective
Brain Sciences, 2020 The perspective of perceiving one’s action affects its speed and accuracy. In the present study, we investigated the change in accuracy and kinematics when subjects throw darts from the first-person perspective and the third-person perspective with
Alexey Tumialis +6 more
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Differentiable Architecture Search Based on Coordinate Descent
IEEE Access, 2021 Neural architecture search (NAS) is an automated method searching for the optimal network architecture by optimizing the combinations of edges and operations.
Pyunghwan Ahn +2 more
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DE-DARTS: Neural architecture search with dynamic exploration
ICT Express, 2023 Neural architecture search (NAS) methods automatically find optimal neural networks without human assistance. Numerous algorithms for NAS have been studied to find architectures with gradient-based search.
Jiwoo Mun, Seokhyeon Ha, Jungwoo Lee
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Targeting HIV Reservoir in Infected CD4 T Cells by Dual-Affinity Re-targeting Molecules (DARTs) that Bind HIV Envelope and Recruit Cytotoxic T Cells. [PDF]
PLoS Pathogens, 2015 HIV reservoirs and production of viral antigens are not eliminated in chronically infected participants treated with combination antiretroviral therapy (cART).
Derek D Sloan +13 more
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Sensors, 2023 In the climate change scenario the world is facing, extreme weather events can lead to increasingly serious disasters. To improve managing the consequent risks, there is a pressing need to have real-time systems that provide accurate monitoring and ...
Christian Gianoglio +4 more
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