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ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence Ben Dai
Neural Information Processing Systems
Empirical risk minimization (ERM) is a crucial framework that offers a general approach to handling a broad range of machine learning tasks.
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AdversariallyRobust3DPointCloudRecognition UsingSelf-Supervisions
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Thus, the robustness of 3D deep learning models against adversarial attacks becomes a major consideration.
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