4 datasets found

This paper explores the connection between learning trajectories of Deep Neural Networks (DNNs) and their generalization capabilities when optimized using stochastic gradient...

This dataset is used to test the robustness of watermarking methods against adaptive attacks.

The dataset is used to analyze the convergence of stochastic gradient descent for two-layer neural networks.

The dataset used in this paper is a collection of pre-trained convolutional neural networks trained on ImageNet.