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Found 3 papers, 1 papers with code
Negotiated Representations for Machine Mearning Application
Overfitting is a phenomenon that occurs when a machine learning model is trained for too long and focused too much on the exact fitness of the training samples to the provided training labels and cannot keep track of the predictive rules that would be useful on the test data.
GReAT: A Graph Regularized Adversarial Training Method
This paper presents GReAT (Graph Regularized Adversarial Training), a novel regularization method designed to enhance the robust classification performance of deep learning models.
A Black-Box Attack on Optical Character Recognition Systems
models are one of the major concerns with an increasing number of effective adversarial attack methods.
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