23 datasets found

The dataset used in this study is a large-scale fMRI dataset acquired from 499 healthy adults. The dataset contains task-evoked fMRI data, which is preprocessed and registered...

Question answering (QA) is a long-standing challenge in NLP, and the community has introduced several paradigms and datasets for the task over the past few years. These...

The dataset used in the paper is a real-world dataset for a quadrotor system. The dataset is used to demonstrate the issue of discrete-time implementations of CBF-based safety...

The dataset used in the paper is a reinforcement learning dataset, specifically a Markov Decision Process (MDP) with a finite set of states and actions.

The Wall Street Journal (WSJ) dataset is a standard benchmark dataset for coherence modeling.

Coherence is an important aspect of text quality and is crucial for ensuring its readability. The proposed coherence model is simple in structure, yet it significantly...

The dataset used in this paper for unsupervised domain adaptation.

A framework for gesture customization requiring minimal examples from users, all without degrading the performance of existing gesture sets.

The dataset is used for transfer learning and feature extraction.

SHiFT is a search engine for transfer learning that allows users to efficiently and flexibly search for pre-trained models.

The dataset used in the paper is a grid world navigation task with four actions: up, down, left, or right. Transitions are stochastic and with a 5% probability the agent moves...

The transfer learning dataset consists of a single trajectory of the shallow-water equations with different initial conditions, sampled with a time-step of 0.1.

A dataset for carpet defect detection using transfer learning and semantic segmentation.

The dataset used in the paper is the Wikipedia dataset, which contains over six million English Wikipedia articles with a full-text field associated with 50 training queries...

The DomainBed dataset is a benchmark for domain generalization, containing five multi-domain datasets (VLCS, PACS, OfficeHome, TerraIncognita, and DomainNet). The dataset is...

This study proposes a framework for developing a novel deep learning-based map-matching model in the limited ground-truth data environment.

The dataset used for short-term wind speed prediction using transfer learning.

The dataset used for power forecasting throughout the lifecycle of wind farms.

Persona-Chat is sourced from authentic conversations between human annotators who are randomly matched and assigned persona information.

Breast cancer histology images classification using transfer learning