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Sang Hwan Kim

1 paper hereh-index 5323 citations22 works total

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  • last author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • cs.LG1

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most citedLearning Boost by Exploiting the Auxiliary Task in Multi-task Domain

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2020★ 3 cited

Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain

Jonghwa Yim, Sang Hwan Kim

Learning two tasks in a single shared function has some benefits. Firstly by acquiring information from the second task, the shared function leverages useful information that could…

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