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Jung-Woo Ha

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.CV1
  • cs.HC1
  • cs.LG1
ORCID 0000-0002-7400-7681
same name
  • Jung-Woo Ha — 57 papers, h 33
  • Jung-Woo Ha — 4 papers, h 7
  • Jung-Woo Ha — 3 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162024
most citedHadamard Product for Low-rank Bilinear Pooling

180 citations · 275 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2024★ 7 cited

HyperCLOVA X Technical Report

Kang Min Yoo, Jaegeun Han, Sookyo In +393

We introduce HyperCLOVA X, a family of large language models (LLMs) tailored to the Korean language and culture, along with competitive capabilities in English, math, and coding. H…

cs.HC2020★ 7 cited

CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic

Sang-Woo Lee, Hyunhoon Jung, SukHyun Ko +17

Tracking suspected cases of COVID-19 is crucial to suppressing the spread of COVID-19 pandemic. Active monitoring and proactive inspection are indispensable to mitigate COVID-19 sp…

cs.LG2020★ 81 cited

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights

Byeongho Heo, Sanghyuk Chun, Seong Joon Oh +5

Normalization techniques are a boon for modern deep learning. They let weights converge more quickly with often better generalization performances. It has been argued that the norm…

cs.CV2016★ 180 cited

Hadamard Product for Low-rank Bilinear Pooling

Jin-Hwa Kim, Kyoung-Woon On, Woosang Lim +3

Bilinear models provide rich representations compared with linear models. They have been applied in various visual tasks, such as object recognition, segmentation, and visual quest…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.