92 datasets found

The dataset used in this study is a benchmark for evaluating the performance of memory-efficient optimizers.

The dataset used in this paper is a sample of (X 1, X 2,..., X k, X ∗) where X ∗ is a latent variable.

Ultrasound beamforming datasets for deep learning

The dataset consists of clusters with means µ(1),..., µ(k) and the examples in the j-th cluster are labeled by y(j). The clusters are generated as follows: we draw j ∼ U[0, 1]...

The dataset used for training and testing the accelerated ALIF SNN model.

The proposed framework, SSAH, for adversarial attack. It aims to perturb images by attacking their semantic similarity in representation space.

The dataset used for testing the proposed deep learning pipeline for tumor detection, histological subtyping, and EGFR mutation prediction from whole slide images (WSIs) of lung...

The dataset used for training and testing the proposed deep learning pipeline for tumor detection, histological subtyping, and EGFR mutation prediction from whole slide images...

The dataset used in this paper is a combination of high-resolution daytime satellite images and deep learning models to evaluate the impact of anti-poverty programs.

This dataset is used for automatic modulation classification using deep learning.

Autofluorescence images of label-free tissue sample can be used to perform micro-structured and multiplexed virtual staining using a deep neural network.

BLUFF is an interactive system for visualizing, characterizing, and deciphering adversarial attacks on DNNs.

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 this paper is a simulation framework for turbo encoding and decoding operations. It consists of four autoencoding problems: one for encoding and three for...

A dataset for wireless mobile channel modeling, including ray tracing and deep learning fusion super-resolution modeling method for cluster characteristics prediction.

Copy detection patterns (CDP) are an attractive technology that allows manufacturers to defend their products against counterfeiting. The main assumption behind the protection...

The dataset used in the paper is a collection of expert demonstrations for various tasks, including robotic manipulation, maze navigation, and Atari games.

The dataset used in the paper is a collection of expert demonstrations for various tasks, including robotic manipulation, maze navigation, and Atari games.

Photometric stereo with two images using a self-supervised deep learning framework called DeepPS2.

The DeepSNR detection pipeline uses a novel method for generating an SNR ranking statistic from deep learning classifiers, providing for the first time a foundation for powerful...