Results 61 to 70 of about 6,198,210 (289)
A survey of neural architecture search
Dianxin kexue, 2019 Recently,deep learning has achieved impressive success on various computer vision tasks.The neural architecture is usually a key factor which directly determines the performance of the deep learning algorithm.The automated neural architecture search ...
Mingjie HE, Jie ZHANG, Shiguang SHAN
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Tiny adversarial multi-objective one-shot neural architecture search
Complex & Intelligent Systems, 2023 The widely employed tiny neural networks (TNNs) in mobile devices are vulnerable to adversarial attacks. However, more advanced research on the robustness of TNNs is highly in demand.
Guoyang Xie +5 more
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Neural Architecture Search for Lightweight Neural Network in Food Recognition
Mathematics, 2021 Healthy eating is an essential element to prevent obesity that will lead to chronic diseases. Despite numerous efforts to promote the awareness of healthy food consumption, the obesity rate has been increased in the past few years.
Ren Zhang Tan +2 more
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Progressive Neural Architecture Search [PDF]
, 2018 To appear in ECCV 2018 as oral. The code and checkpoint for PNASNet-5 trained on ImageNet (both Mobile and Large) can now be downloaded from https://github.com/tensorflow/models/tree/master/research/slim#Pretrained. Also see https://github.com/chenxi116/PNASNet.TF for refactored and simplified TensorFlow code; see https://github.com/chenxi116/PNASNet ...
Chenxi Liu 0001 +9 more
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Few-shot Neural Architecture Search
CoRR, 2020 Efficient evaluation of a network architecture drawn from a large search space remains a key challenge in Neural Architecture Search (NAS). Vanilla NAS evaluates each architecture by training from scratch, which gives the true performance but is extremely time-consuming. Recently, one-shot NAS substantially reduces the computation cost by training only
Yiyang Zhao +4 more
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KT-NAS: Knowledge Transfer for Efficient Neural Architecture Search
Applied SciencesPre-trained models have played important roles in many tasks, such as domain adaptation and out-of-distribution generalization, by transferring matured knowledge.
Linh-Tam Tran +3 more
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Multi-objective Neural Architecture Search
, 2023 Multi-objective Neural Architecture Search Bc. Ren'ata Pivodov'a Abstract Neural architecture search is a promising approach to automatic neural net- work architecture design, which can save a designer's work.
Pivodová, Renáta
core
On-Device Neural Architecture Search
2025 IEEE International Conference on Consumer Electronics (ICCE)This paper proposes a new approach to near-sensor computing, in which a lightweight Neural Architecture Search (NAS) is performed directly on the deployment device to find the best tiny neural architecture for analyzing the real-time data acquired through sensors.
Garavagno, Andrea Mattia +4 more
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Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Array, 2021 Neural architecture search has become an indispensable part of the deep learning field. Modern methods allow to find one of the best performing architectures, or to build one from scratch, but they typically make decisions based on the trained accuracy ...
Ekaterina Gracheva
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