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Amazon Photos
The dataset used in the paper to evaluate the influence of graph elements on the parameter changes of GCNs without needing to retrain the GCNs. -
Amazon Computers
The dataset used in the paper to evaluate the influence of graph elements on the parameter changes of GCNs without needing to retrain the GCNs. -
Synthetic Data
The dataset used in the paper is a synthetic dataset for off-policy contextual bandits, with contexts x ∈ X, a finite set of actions A, and bounded real rewards r ∈ A → [0, 1]. -
Retrieving Labels for Noisy Input Patterns
Retrieving labels for noisy input patterns. -
Self-Organization to Exponential Capacity
Self-organization to exponential capacity. -
Robust Exponential Memory in Hopfield Networks
Robust exponential memory in Hopfield networks. -
Associative Content-Addressable Memory with Exponentially Many Robust Stable ...
Associative content-addressable memory with exponentially many robust stable states and robust error correction. -
REACTMINE: A Statistical Search Algorithm for Inferring Chemical Reactions fr...
Inferring chemical reaction networks (CRN) from concentration time series is a challenge encouraged by the growing availability of quantitative temporal data at the cellular level. -
Moving MNIST dataset
The Moving MNIST dataset consists of videos of MNIST digits. -
Iris dataset
The Iris dataset is a multivariate dataset introduced by Sir Ronald Fisher in his 1936 paper "The use of multiple measurements in taxonomic problems". It contains 150 samples... -
Solar Dynamics Observatory (SDO) dataset
A machine-learning data set prepared from the NASA solar dynamics observatory mission. -
Dataset for Resonant Anomaly Detection
A dataset used for training and testing the autoencoder (AE) and Classification Without Labels (CWoLa) techniques for resonant anomaly detection. -
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.
