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pro vyhledávání: '"Oh, Shinhyeok"'
In this paper, we address the performance degradation of efficient diffusion models by introducing Multi-architecturE Multi-Expert diffusion models (MEME). We identify the need for tailored operations at different time-steps in diffusion processes an
Externí odkaz:
http://arxiv.org/abs/2306.04990
Autor:
Go, Hyojun, Kim, JinYoung, Lee, Yunsung, Lee, Seunghyun, Oh, Shinhyeok, Moon, Hyeongdon, Choi, Seungtaek
Diffusion-based generative models have achieved remarkable success in various domains. It trains a shared model on denoising tasks that encompass different noise levels simultaneously, representing a form of multi-task learning (MTL). However, analyz
Externí odkaz:
http://arxiv.org/abs/2306.00354
Autor:
Lee, Hyun Seung, Choi, Seungtaek, Lee, Yunsung, Moon, Hyeongdon, Oh, Shinhyeok, Jeong, Myeongho, Go, Hyojun, Wallraven, Christian
Text classification in education, usually called auto-tagging, is the automated process of assigning relevant tags to educational content, such as questions and textbooks. However, auto-tagging suffers from a data scarcity problem, which stems from t
Externí odkaz:
http://arxiv.org/abs/2305.18977
Autor:
Oh, Shinhyeok, Go, Hyojun, Moon, Hyeongdon, Lee, Yunsung, Jeong, Myeongho, Lee, Hyun Seung, Choi, Seungtaek
Question generation (QG) is the task of generating a valid and fluent question based on a given context and the target answer. According to various purposes, even given the same context, instructors can ask questions about different concepts, and eve
Externí odkaz:
http://arxiv.org/abs/2305.16626
With the advent of deep learning, a huge number of text-to-speech (TTS) models which produce human-like speech have emerged. Recently, by introducing syntactic and semantic information w.r.t the input text, various approaches have been proposed to en
Externí odkaz:
http://arxiv.org/abs/2212.07939
This paper describes Netmarble's submission to WMT21 Automatic Post-Editing (APE) Shared Task for the English-German language pair. First, we propose a Curriculum Training Strategy in training stages. Facebook Fair's WMT19 news translation model was
Externí odkaz:
http://arxiv.org/abs/2109.06515
Autor:
Oh, Shinhyeok, Lee, Dongyub, Whang, Taesun, Park, IlNam, Seo, Gaeun, Kim, EungGyun, Kim, Harksoo
Existing works for aspect-based sentiment analysis (ABSA) have adopted a unified approach, which allows the interactive relations among subtasks. However, we observe that these methods tend to predict polarities based on the literal meaning of aspect
Externí odkaz:
http://arxiv.org/abs/2106.03806
Publikováno v:
Entropy, Vol.22(12), pp.1-11, 2020.11
Previous researchers have considered sentiment analysis as a document classification task, in which input documents are classified into predefined sentiment classes. Although there are sentences in a document that support important evidences for sent
Externí odkaz:
http://arxiv.org/abs/2103.05167
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