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Breast Cancer
A neural network with single-hidden layer of 64 hidden units and ReLU activations. A prior precision of ε = 1, a minibatch size of 128 and 16 Monte-Carlo samples are used for... -
Neural Network SDE Models with Applications to Financial Data Forecasting
The dataset used in this paper is a collection of stochastic differential equations with drift and diffusion coefficients approximated by neural networks to predict the trend of... -
Automatic Concept Embedding Model (ACEM)
Automatic Concept Embedding Model (ACEM) is a model that learns concept annotations automatically, without requiring concept annotations for all training data. -
Uncertainty of Joint Neural Contextual Bandit
The dataset used in the paper is a large-scale recommendation system dataset, where each item or user may correspond to a separate bandit arm. -
Side-Channel Analysis of OpenVINO-based Neural Network Models
The dataset used in the paper is a quantized neural network model implemented in OpenVINO, which is a framework for deploying neural networks on embedded and Edge devices. -
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits
The authors used four real-world datasets: MNIST, Yelp, MovieLens, and Disin. -
Real Neural Network Bugs
The dataset used in this paper is a set of real neural network bugs collected from stackoverflow, including dimension errors, input shape bugs, and argument errors. -
Randomly Generated Neural Networks with Bugs
The dataset used in this paper is a set of randomly generated neural networks with bugs, including dimension errors, input shape bugs, and argument errors. -
PWR dataset
The dataset used in the paper is a SISO model of the fast processes in a PWR. The dataset is created using the dNEAT algorithm, which is an evolutionary algorithm that optimizes... -
dNEAT dataset
The dataset used in the paper is a black-box model of a dynamic system with time delays. The dataset is created using the dNEAT algorithm, which is an evolutionary algorithm... -
JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fields
The dataset used in the paper for cinematic motion transfer, consisting of NeRF representations of 3D scenes and reference video clips. -
Neural Distributed Image Compression using Common Information
Neural distributed image compression using common information. -
Neural Distributed Source Coding
Distributed source coding (DSC) is the task of encoding an input in the absence of correlated side information that is only available to the decoder. -
FPGA Implementation of Simplified Spiking Neural Network
The proposed model is validated on a Xilinx Virtex 6 FPGA and analyzes a fully connected network which consists of 800 neurons and 12,544 synapses in real-time. -
Dangerous Foraging Domain
The dataset used in the experiment to test the adaptability of Improved NEAT in Variable Environments. -
ResMLP-S12
The ResMLP-S12 dataset is used for image classification tasks. -
Im2win: An Efficient Convolution Paradigm on GPU
Convolutional neural network (CNN) is an important network model widely used in computer vision, image processing, and scientific computing. CNN consists of an input layer, an... -
Interaction Networks
Interaction Networks: Using a Reinforcement Learner to train other Machine Learning algorithms -
Kodak dataset
The dataset used in the paper is not explicitly described, but it is mentioned that the authors tested their model on various signal reconstruction tasks: 1D sinusoidal... -
Autoencoder dataset
The dataset used in this paper is a simple neural network with 784 input features, 20 latent space features, and 15680 parameters.
