Aug 28, 2023 · SGAT is a general training framework and can be applied to the existing neural networks without requiring structure modification. We have ...
Highlights•We propose a new accumulated training method named SGAT, which utilizes ensembles of earlier model snapshots to boost subsequent training ...
Aug 28, 2023 · SGAT is a general training framework and can be applied to the existing neural networks without requiring structure modification. We have ...
Jul 30, 2023 · SGAT: Snapshot-guided adversarial training of neural networks · W Xu · J He · Y Shu, Guangyan HuangGuangyan Huang.
To accumulate knowledge from the training process, we employ a cyclic annealing schedule and take a model snapshot at the end of each training interval.
In this paper we present some preliminary ideas for the design of a continuous nonlinear neural networks with "learning." Specifically, we introduce the idea of ...
SGAT: Snapshot-guided adversarial training of neural networks. W Xu, J He, Y Shu, G Huang. Neurocomputing 547, 126294, 2023. 2023 ; Building Computational ...
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SGAT: Snapshot-guided adversarial training of neural networks. 28 Aug 2023Neurocomputing547:1-16 (16 pages)Elsevier. Co-authors Xu W, He J, Shu Y... 1 more.
We propose a new accumulated training method named SGAT, which utilizes ensembles of earlier model snapshots to boost subsequent training iterations via an ...
Wen Xu's 4 research works with 44 citations, including: SGAT: Snapshot-guided adversarial training of neural networks.