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Found 4 papers, 1 papers with code
Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule
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.
Fostering the Robustness of White-Box Deep Neural Network Watermarks by Neuron Alignment
The wide application of deep learning techniques is boosting the regulation of deep learning models, especially deep neural networks (DNN), as commercial products.
The Electromagnetic Balance Game: A Probabilistic Perspective
We present some elementary results on the analysis of dishonest balance game using probabilistic method at length.
Probabilistic Model of Object Detection Based on Convolutional Neural Network
The combination of a CNN detector and a search framework forms the basis for local object/pattern detection.
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