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Position Embedding Needs an Independent Layer Normalization
The dataset used in the paper is not explicitly described, but it is mentioned that the authors analyzed the input and output of each encoder layer in Vision Transformers (VTs)... -
ImageNet-Compatible and CIFAR-10 datasets
The authors used the ImageNet-Compatible and CIFAR-10 datasets for targeted attack experiments. -
Benchmarking neural network robustness to common corruptions and perturbations
Benchmarking neural network robustness to common corruptions and perturbations. -
Macroeconomic Index Dataset
The dataset used in this paper is a macroeconomic index dataset, which is used to test the performance of the CGAN method in economic forecasting. -
Financial Risk Management Dataset
The dataset used in this paper is a financial risk management dataset, which is used to test the performance of the CGAN method in calculating Value-at-Risk (VaR) and Expected... -
Time Series Simulation by Conditional Generative Adversarial Net
The dataset used in this paper is a time series data, which is used to test the performance of the Conditional Generative Adversarial Net (CGAN) method. -
BERT: Pre-training of deep bidirectional transformers for language understanding
This paper proposes BERT, a pre-trained deep bidirectional transformer for language understanding. -
Ember: an open dataset for training static pe malware machine learning models
Ember: an open dataset for training static pe malware machine learning models -
Machine learning for perturbational single-cell omics
Single-cell perturbation response prediction using machine learning. -
AFVSGP-HOCBF
The dataset used in the paper for real-time adaptive safety-critical control with Gaussian processes in high-order uncertain models. -
auton-survival
Applications of machine learning in healthcare often require working with time-to-event prediction tasks including prognostication of an adverse event, re-hospitalization, and... -
Spherical-MNIST, atomic energy, Shrec17, diffusion MRI
The dataset used in this paper for classification tasks on spherical-MNIST, atomic energy, Shrec17 data sets, and group testing on diffusion MRI data. -
Human-level control through deep reinforcement learning
The dataset contains data from human-level control through deep reinforcement learning. -
VGG-16 and ResNet-50 DNNs
The VGG-16 and ResNet-50 DNNs are used as victim DNNs in the attack. -
VGG and ResNet DNNs
The VGG and ResNet DNNs are used as victim DNNs in the attack. -
PapersWithCode dataset
The dataset used in the paper is the PapersWithCode dataset, which contains papers and code from various machine learning conferences. -
Abstraction and Reasoning Corpus (ARC)
A collection of heterogeneous visual reasoning data sets and an interesting benchmark for two reasons: First, visual reasoning programs tend to be large (in current program... -
Cora and Citeseer datasets
The Cora and Citeseer datasets are used for training machine learning models to classify documents into different categories. -
Flow Prediction Datasets
The dataset contains three challenging scenarios for flow prediction: incompressible and transonic flows, as well as isotropic turbulence.
