Search Results for author: Shi-Lin Wang

Found 2 papers, 1 papers with code

Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule

1 code implementation16 Sep 2023 Hongyu Zhu, Sichu Liang, Wentao Hu, Fang-Qi Li, Yali Yuan, Shi-Lin Wang, Guang Cheng

As a modern ensemble technique, Deep Forest (DF) employs a cascading structure to construct deep models, providing stronger representational power compared to traditional decision forests.

AutoML Data Augmentation +1

Fostering the Robustness of White-Box Deep Neural Network Watermarks by Neuron Alignment

no code implementations28 Dec 2021 Fang-Qi Li, Shi-Lin Wang, Yun Zhu

The wide application of deep learning techniques is boosting the regulation of deep learning models, especially deep neural networks (DNN), as commercial products.

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