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Deep Learning Generalization with Limited and Noisy Labels

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Deep Learning Generalization with Limited and Noisy Labels

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Wasserstein Adversarial Regularization for learning with label noise

Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

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Scaling description of generalization with number of parameters in deep learning

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Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions