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Yooju Shin

9 papers hereh-index 101.7k citations16 works total

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

author position
  • middle author9

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.AI1
  • cs.IR1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedLearning from Noisy Labels with Deep Neural Networks: A Survey

91 citations · 153 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.LG2020★ 15 cited

Accurate and Fast Federated Learning via IID and Communication-Aware Grouping

Jin-woo Lee, Jaehoon Oh, Yooju Shin +2

Federated learning has emerged as a new paradigm of collaborative machine learning; however, it has also faced several challenges such as non-independent and identically distribute…

cs.LG2020★ 27 cited

Robust Learning by Self-Transition for Handling Noisy Labels

Hwanjun Song, Minseok Kim, Dongmin Park +2

Real-world data inevitably contains noisy labels, which induce the poor generalization of deep neural networks. It is known that the network typically begins to rapidly memorize fa…

cs.LG2020★ 91 cited

Learning from Noisy Labels with Deep Neural Networks: A Survey

Hwanjun Song, Minseok Kim, Dongmin Park +2

Deep learning has achieved remarkable success in numerous domains with help from large amounts of big data. However, the quality of data labels is a concern because of the lack of…

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