487 datasets found

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.

The TREC Deep Learning 2021 collection is a test collection for information retrieval evaluation, adopting a shallow pooling approach.

Training complex neural network models using third-party cloud-based infrastructure among multiple data sources is a promising approach among existing machine learning...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a black-box three-output neural network.

The dataset used for speech intelligibility prediction with DNN-based performance measures

Benchmarking robustness of deep learning classifiers using two-factor perturbation

The dataset used in the paper for network transplanting.

The dataset used in this paper is a collection of deep learning models, where each model is trained on a specific problem and evaluated on a validation set.

The dataset used in the paper is a 2D dataset with 5 types: Moons, Circles, Spirals, Single Blobs, and Double Blobs.

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

The proposed X-DC model uses a dataset of mixed speech signals of two, four, or eight speakers.

The dataset used in this paper is a neural network training dataset with radix-4 gradients.

A novel large-scale dataset for spatio-temporal tagging of self-driving scenes, containing 15 attributes relating to vehicle and pedestrian density, the actions of each actor,...

Elbow fracture diagnosis from X-ray images using medical knowledge-guided deep curriculum learning

Sparse adversarial attacks fool deep neural networks (DNNs) through minimal pixel perturbations, often regularized by the ℓ0 norm. Recent efforts have replaced this norm with a...

ShiftAddViT: A hardware-inspired multiplication-reduced Vision Transformer model.

The dataset used in the paper is a publicly available dataset from Kaggle, used for demonstrating the effectiveness of the Lai loss function.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a preliminary model to compute an intermediate representation and then...

Hyperparameter optimization for transfer Convolutional Neural Networks (CNN) using Genetic Algorithm