434 datasets found

A comprehensive dataset featuring ten distinct hen breeds, capturing unique characteristics and traits of each breed.

Memory Association Networks (MANs) that memorize and remember any data. This neural network has two memories. One consists of a queue-structured short-term memory to solve the...

The dataset used in the paper is FashionMNIST and CIFAR-10, which are commonly used datasets for image classification tasks.

The dataset is a vector autoregressive (VAR) model with trend, where the mean is modeled by a recurrent neural network of the LSTM type, and the dependence structure is modeled...

The dataset used in the paper is a synthetic dataset generated by teacher networks for a given true rank k∗.

A dataset for estimating measurements received over a network, using a deep neural network based approximation architecture.

The Deep-IRT model is a synthesis of the item response theory (IRT) model and a knowledge tracing model that is based on the deep neural network architecture called dynamic...

The dataset used in the paper is MNIST and CIFAR10.

A Discriminative Deep Forest (DisDF) as a metric learning algorithm is proposed in the paper.

The dataset used in the paper is a set of Pong variants, including Noisy, Black, White, Zoom, and others.

The dataset used in the paper is a set of 3D maze games, including Labyrinth and others.

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

The FashionMNIST and CIFAR-10 datasets are used to evaluate the performance of the Negative Correlation Ensemble (NCEn) defense strategy.

Physics-Informed Neural Networks (PINNs) have received increased interest for forward, inverse, and surrogate modeling of problems described by partial differential equations...

The dataset used in the paper is a neural network with L layers numbered 1,..., L, in which each of the hidden layers has N neurons.

A catalog of visual-like morphologies in the 5 Candels fields using deep-learning

A catalog of broad morphology of SDSS galaxies

A catalog of broad morphology of Pan-STARRS galaxies based on deep learning

The dataset used in this paper is MNIST, CIFAR10, and ImageNet.

Heteroscedastic regression is the task of supervised learning where each label is subject to noise from a different distribution. This noise can be caused by the labelling...