Results 11 to 20 of about 75,461 (296)
Graph Neural Architecture Search [PDF]
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020 Graph neural networks (GNNs) emerged recently as a powerful tool for analyzing non-Euclidean data such as social network data. Despite their success, the design of graph neural networks requires heavy manual work and domain knowledge. In this paper, we present a graph neural architecture search method (GraphNAS) that enables automatic design of the ...
Yang Gao 0024 +4 more
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Binarized Neural Architecture Search
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 Neural architecture search (NAS) can have a significant impact in computer vision by automatically designing optimal neural network architectures for various tasks. A variant, binarized neural architecture search (BNAS), with a search space of binarized convolutions, can produce extremely compressed models.
Hanlin Chen +6 more
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Robust Neural Architecture Search
CoRR, 2023 Neural Architectures Search (NAS) becomes more and more popular over these years. However, NAS-generated models tends to suffer greater vulnerability to various malicious attacks. Lots of robust NAS methods leverage adversarial training to enhance the robustness of NAS-generated models, however, they neglected the nature accuracy of NAS-generated ...
Xunyu Zhu +3 more
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Neural Architecture Search for Transformers: A Survey
IEEE Access, 2022 Transformer-based Deep Neural Network architectures have gained tremendous interest due to their effectiveness in various applications across Natural Language Processing (NLP) and Computer Vision (CV) domains.
Krishna Teja Chitty-Venkata +3 more
doaj +3 more sources
TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction [PDF]
SensorsAutonomous driving systems are a rapidly evolving technology. Trajectory prediction is a critical component of autonomous driving systems that enables safe navigation by anticipating the movement of surrounding objects.
Ali Asghar Sharifi +2 more
doaj +2 more sources
Neural architecture search using attention enhanced precise path evaluation and efficient forward evolution [PDF]
Scientific ReportsPredictor-based Neural Architecture Search (NAS) utilizes performance predictors to swiftly estimate architecture accuracy, thereby reducing the cost of architecture evaluation. However, existing predictor models struggle to represent spatial topological
Yuangang Li +5 more
doaj +2 more sources
Contrastive Neural Architecture Search with Neural Architecture Comparators [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Accpeted by CVPR 2021.
Yaofo Chen +6 more
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Review of Research on Neural Architecture Search Algorithms Based on Non-Gradient Evolution [PDF]
Jisuanji gongcheng, 2020 Automated deep learning is one of the new research hotspots in the field of deep learning.Neural architecture search algorithms are frequently used for the implementation of automated deep learning,as they can automatically design neural network ...
SHANG Diya, SUN Hua, HONG Zhenhou, ZENG Qingliang
doaj +1 more source
CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection [PDF]
, 2023 Graph neural architecture search (GNAS) has been successful in many supervised learning tasks, such as node classification, graph classification, and link prediction.
Raeed Al-Sabri +13 more
core +1 more source
Effective, Efficient and Robust Neural Architecture Search [PDF]
, 2023 Designing neural network architecture for embedded devices is practical but challenging because the models are expected to be not only accurate but also enough lightweight and robust.
Yue, Z, Lin, B, Liang, C, Zhang, Y
core +1 more source