Pages that link to "Item:Q4621805"
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The following pages link to Robust Large Margin Deep Neural Networks (Q4621805):
Displaying 13 items.
- A tight upper bound on the generalization error of feedforward neural networks (Q1982395) (← links)
- Adversarial noise attacks of deep learning architectures: stability analysis via sparse-modeled signals (Q1988345) (← links)
- Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness (Q2057701) (← links)
- Understanding generalization error of SGD in nonconvex optimization (Q2127232) (← links)
- An analysis of training and generalization errors in shallow and deep networks (Q2185668) (← links)
- Generalization Error in Deep Learning (Q3296180) (← links)
- Lipschitz Certificates for Layered Network Structures Driven by Averaged Activation Operators (Q5027040) (← links)
- Regression Neural Networks with a Highly Robust Loss Function (Q5141227) (← links)
- On the Purity and Entropy of Mixed Gaussian States (Q5230194) (← links)
- DeepMoM: Robust Deep Learning With Median-of-Means (Q6047127) (← links)
- Stable parameterization of continuous and piecewise-linear functions (Q6051165) (← links)
- The role of mutual information in variational classifiers (Q6134364) (← links)
- Advancing neural network calibration: the role of gradient decay in large-margin Softmax optimization (Q6587016) (← links)
