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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. -
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... -
CASCADE ADVERSARIAL MACHINE LEARNING REGULARIZED WITH A UNIFIED EMBEDDING
The dataset used in the paper is MNIST and CIFAR10. -
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. -
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. -
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... -
SolarNet: A Deep Learning Framework to Map Solar Power Plants in China from S...
A deep learning framework to map solar power plants from large-scale satellite imagery data -
Deep Meta Functionals for Shape Representation
A new method for 3D shape reconstruction from a single image, in which a deep neural network directly maps an image to a vector of network weights. -
Parking Analytics Framework using Deep Learning
A dataset for parking analytics using deep learning and image processing. -
Deep learning-based dataset for computer-aided detection of medical images
Deep learning-based dataset for computer-aided detection of medical images -
FCD dataset for automatic detection of FCD on MRI
Focal cortical dysplasia (FCD) dataset for automatic detection of FCD on magnetic resonance images (MRI)
