Results 11 to 20 of about 10,983 (287)
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance
Proceedings of the AAAI Conference on Artificial IntelligenceAmong existing Neural Architecture Search methods, DARTS is known for its efficiency and simplicity. This approach applies continuous relaxation of network representation to construct a weight-sharing supernet and enables the identification of excellent subnets in just a few GPU days.
Hongyi He +3 more
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aheuillet/D-DARTS: Intial release
, 2023 Official implementation of the D-DARTS ...
Alexandre Heuillet
core +2 more sources
open Delft Advanced Research Terra Simulator (open-DARTS)
, 2023 Subsurface reservoirs are used for various applications that are part of the energy transition toward zero-carbon energy sources. They can serve as a direct source of energy (geothermal production), cyclic energy storage required by renewable energy ...
Voskov, Denis +6 more
core +1 more source
Differentiable Architecture Search Algorithm Based on Global Comparison
IEEE Access, 2023 Manually building neural network models is a great test of researchers’ knowledge reserves, so using Neural Architecture Search (NAS) to automatically construct neural networks is becoming increasingly popular.
Xianglun Zeng, Hongxiang Xiao
doaj +1 more source
Frontiers in Plant Science, 2016 Narrowing the genetic base available for future genetic progress is a major concern to plant breeders. In order to avoid this, strategies to characterise and protect genetic diversity in regional breeding pools are required.
Dario eNovoselović +10 more
doaj +1 more source
Applied Sciences, 2023 In the realm of machine learning, the optimization of hyperparameters and the design of neural architectures entail laborious and time-intensive endeavors.
Jiyong Shin, Kyongseok Park, Dae-Ki Kang
doaj +1 more source
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance [PDF]
, 2023 Among existing Neural Architecture Search methods, DARTS is known for its efficiency and simplicity. This approach applies continuous relaxation of network representation to construct a weight-sharing supernet and enables the identification of excellent ...
Zhang, Haonan +3 more
core +1 more source
NDARTS: A Differentiable Architecture Search Based on the Neumann Series
Algorithms, 2023 Neural architecture search (NAS) has shown great potential in discovering powerful and flexible network models, becoming an important branch of automatic machine learning (AutoML).
Xiaoyu Han +3 more
doaj +1 more source
An internal focus leads to longer Quiet Eye durations in novice dart players
Frontiers in Psychology, 2016 While the benefits of both an external focus of attention and of a longer quiet eye duration have been well researched in a wide range of sporting activities, little is known about the interaction of these two phenomena and how a potential interaction ...
Sydney eQuerfurth +3 more
doaj +1 more source
Proceedings of the 11th Symposium on Dynamic Languages, 2015 Unlike traditional static type checking, the type system in the Dart programming language is unsound by design, even for fully annotated programs. The rationale has been that this allows compile-time detection of likely errors and enables code completion in integrated development environments, without being restrictive on programmers.
Erik Ernst +3 more
openaire +2 more sources