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Found 4 papers, 1 papers with code
On the Maximum Hessian Eigenvalue and Generalization
The mechanisms by which certain training interventions, such as increasing learning rates and applying batch normalization, improve the generalization of deep networks remains a mystery.
Robot Design With Neural Networks, MILP Solvers and Active Learning
Central to the design of many robot systems and their controllers is solving a constrained blackbox optimization problem.
Are Perceptually-Aligned Gradients a General Property of Robust Classifiers?
For a standard convolutional neural network, optimizing over the input pixels to maximize the score of some target class will generally produce a grainy-looking version of the original image.
Building a Sustainable Structure for Research Software Engineering Activities
The profile of research software engineering has been greatly enhanced by developments at institutions around the world to form groups and communities that can support effective, sustainable development of research software.
Software Engineering
