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GalliformeSpectra: A Hen Breed Dataset
A comprehensive dataset featuring ten distinct hen breeds, capturing unique characteristics and traits of each breed. -
Memory Association Networks
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... -
FashionMNIST and CIFAR-10
The dataset used in the paper is FashionMNIST and CIFAR-10, which are commonly used datasets for image classification tasks. -
DeepVARwT: Deep Learning for a VAR Model with Trend
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... -
Synthetic dataset for Leaky ResNets
The dataset used in the paper is a synthetic dataset generated by teacher networks for a given true rank k∗. -
LAA Dataset
A dataset for estimating measurements received over a network, using a deep neural network based approximation architecture. -
Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item R...
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... -
CASCADE ADVERSARIAL MACHINE LEARNING REGULARIZED WITH A UNIFIED EMBEDDING
The dataset used in the paper is MNIST and CIFAR10. -
Discriminative Deep Forest (DisDF)
A Discriminative Deep Forest (DisDF) as a metric learning algorithm is proposed in the paper. -
Pong Variants
The dataset used in the paper is a set of Pong variants, including Noisy, Black, White, Zoom, and others. -
3D Maze Games
The dataset used in the paper is a set of 3D maze games, including Labyrinth and others. -
Learning Trajectories are Generalization Indicators
This paper explores the connection between learning trajectories of Deep Neural Networks (DNNs) and their generalization capabilities when optimized using stochastic gradient... -
Negative Correlation Ensemble for Adversarial Examples Defense
The FashionMNIST and CIFAR-10 datasets are used to evaluate the performance of the Negative Correlation Ensemble (NCEn) defense strategy. -
Physics-informed neural network solution of thermo-hydro-mechanical (THM) pro...
Physics-Informed Neural Networks (PINNs) have received increased interest for forward, inverse, and surrogate modeling of problems described by partial differential equations... -
Leapfrogging for parallelism in deep neural networks
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. -
Catalog of Visual-like Morphologies
A catalog of visual-like morphologies in the 5 Candels fields using deep-learning -
SDSS Galaxy Morphology Catalog
A catalog of broad morphology of SDSS galaxies -
Pan-STARRS morphology catalog
A catalog of broad morphology of Pan-STARRS galaxies based on deep learning -
NITI: INTEGER TRAINING
The dataset used in this paper is MNIST, CIFAR10, and ImageNet. -
Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression
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...
