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Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search

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Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search

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Efficient local linearity regularization to overcome catastrophic overfitting

Robust NAS under adversarial training: benchmark, theory, and beyond

From Kernel Methods to Neural Networks: A Unifying Variational Formulation

Deep Learning Generalization with Limited and Noisy Labels

Adversarial Training Should Be Cast As a Non-Zero-Sum Game

Regularization of polynomial networks for image recognition

Hardware-Software Co-design for Improved Resource Utilization in DNN Accelerators

Regularization of polynomial networks for image recognition

Bayes-optimal Learning of Deep Random Networks of Extensive-width

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration