Human Understanding AI Paper Challenge 2024 -- Dataset Design

Fuente: arXiv
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Autori principali: Oh, Se Won, Jeong, Hyuntae, Lim, Jeong Mook, Chung, Seungeun, Noh, Kyoung Ju
Natura: Preprint
Pubblicazione: 2024
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author Oh, Se Won
Jeong, Hyuntae
Lim, Jeong Mook
Chung, Seungeun
Noh, Kyoung Ju
author_facet Oh, Se Won
Jeong, Hyuntae
Lim, Jeong Mook
Chung, Seungeun
Noh, Kyoung Ju
contents In 2024, we will hold a research paper competition (the third Human Understanding AI Paper Challenge) for the research and development of artificial intelligence technologies to understand human daily life. This document introduces the datasets that will be provided to participants in the competition, and summarizes the issues to consider in data processing and learning model development.
format Preprint
id arxiv_https___arxiv_org_abs_2403_16509
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Human Understanding AI Paper Challenge 2024 -- Dataset Design
Oh, Se Won
Jeong, Hyuntae
Lim, Jeong Mook
Chung, Seungeun
Noh, Kyoung Ju
Machine Learning
J.7; E.m
In 2024, we will hold a research paper competition (the third Human Understanding AI Paper Challenge) for the research and development of artificial intelligence technologies to understand human daily life. This document introduces the datasets that will be provided to participants in the competition, and summarizes the issues to consider in data processing and learning model development.
title Human Understanding AI Paper Challenge 2024 -- Dataset Design
topic Machine Learning
J.7; E.m
url https://arxiv.org/abs/2403.16509