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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. -
Facial Feature Dataset
Facial feature dataset used for testing the proposed feature compression scheme -
Deep Learning Enabled Raman Spectroscopy
A comprehensive framework for higher-throughput molecular imaging via deep learning enabled Raman spectroscopy. -
LARGE-SCALE STOCHASTIC OPTIMIZATION OF NDCG SURROGATES FOR DEEP LEARNING WITH...
The dataset used in the paper is the MSLR-WEB30K dataset and the Yahoo! LTR dataset, which are the largest public LTR datasets from commercial search engines. -
FashionMNIST and CIFAR-10
The dataset used in the paper is FashionMNIST and CIFAR-10, which are commonly used datasets for image classification tasks. -
Deep Forgetful Novelty-Seeking Model
A Deep, Forgetful Novelty-Seeking Movie Recommender Model -
SigFormer dataset
The dataset used in the paper SigFormer: Signature Transformers for Deep Hedging -
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... -
Packet Loss Concealment
Packet-loss is a common problem in data transmission using Voice over IP. The problem is an old problem, and there has been a variety of classical approaches that were developed... -
CASCADE ADVERSARIAL MACHINE LEARNING REGULARIZED WITH A UNIFIED EMBEDDING
The dataset used in the paper is MNIST and CIFAR10. -
ImageNet Noise
The dataset used in the paper is the ImageNet noise dataset, which contains 60,000 32x32 color images with random labels. -
Purchase100
Purchase dataset contains 600 different products (attributes), and each user has a binary record which indicates whether she has bought each of the products (a total of 197,324... -
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. -
Multi-Task Learning as Multi-Objective Optimization
Multi-task learning, multiple tasks are solved jointly, sharing inductive bias between them. -
Deep Learning-Based Active User Detection for Grant-free SCMA Systems
The proposed dataset is used for training and testing the deep neural network-based active user detection schemes for grant-free SCMA systems in mMTC uplink framework. -
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. -
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Segnet: A deep convolutional encoder-decoder architecture for image segmentation. -
Data-Folding and Hyperspace Coding for Multi-Dimensional Time-Series Data Ima...
Multi-Dimensional time series classification and prediction has been widely used in many fields, as disease prevention, fault diagnosis and action recognition. -
DAIC-WOZ dataset
A dataset collected remotely through an interactive smartphone application that was available to the U.S. general population through Google Play and Apple App Store under IRB...
