Standout Papers

Learning From Noisy Labels With Deep Neural Networks: A Survey 2022 2026 2023 2024444
  1. Learning From Noisy Labels With Deep Neural Networks: A Survey (2022)
    Hwanjun Song, Minseok Kim et al. IEEE Transactions on Neural Networks and Learning Systems

Immediate Impact

23 standout
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Citing Papers

Recursive identification methods for general stochastic systems with colored noises by using the hierarchical identification principle and the filtering identification idea
2024 Standout
Highly-efficient filtered hierarchical identification algorithms for multiple-input multiple-output systems with colored noises
2024 Standout
1 intermediate paper

Works of Hwanjun Song being referenced

Learning From Noisy Labels With Deep Neural Networks: A Survey
2022 Standout

Author Peers

Author Last Decade Papers Cites
Hwanjun Song 353 176 24 51 18 575
Zixing Song 392 203 80 22 16 690
Xin Wang 280 141 26 24 10 535
Kirit Modi 171 195 60 49 19 586
Borui Zhao 234 240 20 27 15 590
Yue Ma 149 138 22 31 15 549
Sujuan Hou 195 216 33 42 32 723
Xuming Han 257 152 47 31 50 572
Xiangli Yang 271 171 36 22 7 536
Renjie Song 241 263 21 23 15 531
Amer Draa 388 144 27 58 28 634

All Works

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2026