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Anomalous diffusion dynamics of learning in deep neural networks
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used ResNet-14, ResNet-20, ResNet-56, and ResNet-110 networks, as well as... -
ResNet and WRN datasets
ResNet and WRN datasets used for image classification tasks -
ResNet18 dataset
The dataset used in the paper is the ResNet18 dataset, which is a convolutional neural network dataset. -
Progressive Feedforward Collapse of ResNet Training
The dataset used in the paper is a ResNet trained on various datasets, including MNIST, Fashion MNIST, CIFAR10, STL10, and CIFAR100. -
Generalization of Scaled Deep ResNets in the Mean-Field Regime
The dataset used in the paper is a binary classification dataset, where the goal is to find a hypothesis (i.e., a ResNet used in this work) f : X → Y such that f (x; Θ)... -
R2U-Net: A Deep Learning Model for Medical Image Segmentation
The R2U-Net is a deep learning model for medical image segmentation that combines U-Net, ResNet, and recurrent neural network (RCNN). -
ILSVRC competition
AlexNet by Krizhevsky et al. (2012), VGG by Simonyan & Zisserman (2015), GoogleNet (Szegedy et al., 2015) and ResNet (He et al., 2015) have seen state-of-the-art... -
ResNet-20 and ResNet-32
The dataset used in this paper is the ResNet-20 and ResNet-32 datasets, which are variants of the ResNet-50 model. -
Chaotic Multiscale System
The dataset is used to test the proposed generalized residue network (gResNet) framework for learning unknown governing equations from observational data. -
Nonlinear ODE Systems
The dataset is used to test the proposed generalized residue network (gResNet) framework for learning unknown governing equations from observational data. -
Linear ODE Systems
The dataset is used to test the proposed generalized residue network (gResNet) framework for learning unknown governing equations from observational data. -
Unknown Dynamical Systems
The dataset is used to test the proposed generalized residue network (gResNet) framework for learning unknown governing equations from observational data. -
VGG and ResNet DNNs
The VGG and ResNet DNNs are used as victim DNNs in the attack.
