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Grab-Traces
The dataset used in this paper is a large-scale query workload dataset, containing 19K Presto OLAP queries from Grab. -
Limiting Dynamics of SGD
The dataset used in this paper is a collection of pre-trained convolutional neural networks trained on ImageNet. -
ActualMed COVID-19 Chest X-ray Dataset Initiative
The ActualMed COVID-19 Chest X-ray Dataset Initiative is a collection of 13,975 CXR images of around 13,870 infected patients. -
COVID-19 Chest X-Ray Dataset Initiative
The COVID-19 Chest X-Ray Dataset Initiative is a collection of 13,975 CXR images of around 13,870 infected patients. -
COVID-19 Image Data Collection
The dataset of chest x-rays used in this paper come from COVID-19 image data collection from Joseph Paul Cohen and Paul Morrison and Lan Dao. This dataset contains x-rays of... -
COVID-19 image data collection and Covid-Net
The dataset used to train the proposed model is a combination of two open-source datasets called COVID-19 image data collection and Covid-Net. -
Detection and Classification of Glioblastoma Brain Tumor
Glioblastoma brain tumor detection and segmentation using preprocessed brain MRI images -
SpoC: Spoofing Camera Fingerprints
A GAN-based method to attack both forensic camera model identifiers and GAN detectors. -
Deep Learning-Aided Tabu Search Detection for Large MIMO Systems
The proposed FS-Net detection scheme is a DNN-aided symbol-detection algorithm for MIMO systems. Unlike the prior DetNet and ScNet schemes, the input vector of the FS-Net is... -
Submanifold Sparse Convolutional Networks
Convolutional network are the de-facto standard for analysing spatio-temporal data such as images, videos, 3D shapes, etc. Whilst some of this data is naturally dense (for... -
BENCHMARK ASSESSMENT FOR DEEPSPEED OPTIMIZATION LIBRARY
Deep Learning (DL) models are widely used in machine learning due to their performance and ability to deal with large datasets while producing high accuracy and performance... -
DispersioNET: Joint Inversion of Rayleigh-Wave Multimode Phase Velocity Dispe...
Rayleigh wave dispersion curves have been widely used in near-surface studies, and are primarily inverted for the shear wave (S-wave) velocity profiles. However, the inverse... -
Adversarial Feature Learning
Adversarial Feature Learning -
Target Dataset
The target dataset is a 79 chip target dataset built using the optical imagery generated by Theia, the MRC satellite optical camera. -
Deep-R: Single-shot autofocusing of microscopy images using deep learning
A deep learning-based offline autofocusing framework for microscopy images -
Holy Places Dataset
A dataset of images of holy places (Kaaba, Zamzam, Maqam Ibrahim) for training a deep learning model.
