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Polymer Concepts in Cellular Function

Advanced Science, EarlyView.
Miao Yu, Shikha Dhiman, Dorothee Dormann, Frauke Gräter, Katja Luck, Friederike Schmid, Andreas Walther, Edward A. Lemke   +7 more
wiley   +1 more source

Neural Predictor for Neural Architecture Search [PDF]

Lecture Notes in Computer Science, 2020
Neural Architecture Search methods are effective but often use complex algorithms to come up with the best architecture. We propose an approach with three basic steps that is conceptually much simpler. First we train N random architectures to generate N (architecture, validation accuracy) pairs and use them to train a regression model that predicts ...
Yiran Chen, Wei Wen, Hai Helen Li
exaly   +4 more sources

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A Review of Neural Architecture Search

Neurocomputing, 2022
Mikhail Burtsev
exaly   +3 more sources

Diversity in Neural Architecture Search

2020 International Joint Conference on Neural Networks (IJCNN), 2020
Neural architecture search (NAS) is usually divided into two phases: model search, where candidate architectures go through an early training for a small number of epochs (e.g., 20) and a search strategy is used to find one or multiple top candidates, and model tuning, where the top candidates are trained fully (e.g., for 600 epochs) and one final best
Wenzheng Hu, Mingyang Li, Changhe Yuan, Changshui Zhang, Jianqiang Wang 0003   +4 more
openaire   +2 more sources

Hypergraph Neural Architecture Search

Proceedings of the AAAI Conference on Artificial Intelligence
In recent years, Hypergraph Neural Networks (HGNNs) have achieved considerable success by manually designing architectures, which are capable of extracting effective patterns with high-order interactions from non-Euclidean data. However, such mechanism is extremely inefficient, demanding tremendous human efforts to tune diverse model parameters.
Wei Lin, Xu Peng, Zhengtao Yu 0001, Taisong Jin   +3 more
openaire   +1 more source

Personalized Neural Architecture Search

2021 International Conference on Data Mining Workshops (ICDMW), 2021
Cedric Kulbach, Steffen Thoma
openaire   +2 more sources

Disentangled Neural Architecture Search

2022 International Joint Conference on Neural Networks (IJCNN), 2022
Xinyue Zheng, Peng Wang 0095, Qigang Wang, Zhongchao Shi, Jianping Fan 0007   +4 more
openaire   +1 more source

Neural architecture search

2021
ZOPH BARRET, GUAN YUN JIA, PHAM HIEU HY, LE QUOC V   +3 more
  +8 more sources

A Comprehensive Survey of Neural Architecture Search

ACM Computing Surveys, 2022
Zhihui Li, Pengzhen Ren, Xiaojun Chang
exaly  

NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search

IEEE Transactions on Neural Networks and Learning Systems, 2023
Chuang Niu, Jimin Liang, Chen Wei
exaly