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Deep Learning is Robust to Massive Label Noise

Deep Learning is Robust to Massive Label Noise

30 May 2017
David Rolnick
Andreas Veit
Serge J. Belongie
Nir Shavit
    NoLa
ArXivPDFHTML

Papers citing "Deep Learning is Robust to Massive Label Noise"

9 / 59 papers shown
Title
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels
Kun Yi
Jianxin Wu
NoLa
23
408
0
19 Mar 2019
An Effective Label Noise Model for DNN Text Classification
An Effective Label Noise Model for DNN Text Classification
Ishan Jindal
Daniel Pressel
Brian Lester
M. Nokleby
NoLa
10
48
0
18 Mar 2019
Distant Vehicle Detection Using Radar and Vision
Distant Vehicle Detection Using Radar and Vision
Simon Chadwick
William P. Maddern
Paul Newman
11
185
0
30 Jan 2019
Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks
Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks
Mahmoud Kalash
Md. Amirul Islam
Neil D. B. Bruce
21
13
0
03 Oct 2018
Implicit Self-Regularization in Deep Neural Networks: Evidence from
  Random Matrix Theory and Implications for Learning
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning
Charles H. Martin
Michael W. Mahoney
AI4CE
14
190
0
02 Oct 2018
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild
Samuel Albanie
Arsha Nagrani
Andrea Vedaldi
Andrew Zisserman
CVBM
17
270
0
16 Aug 2018
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
Sheng Guo
Weilin Huang
Haozhi Zhang
Chenfan Zhuang
Dengke Dong
Matthew R. Scott
Dinglong Huang
SSL
16
338
0
03 Aug 2018
What do we need to build explainable AI systems for the medical domain?
What do we need to build explainable AI systems for the medical domain?
Andreas Holzinger
Chris Biemann
C. Pattichis
D. Kell
28
680
0
28 Dec 2017
Rethinking generalization requires revisiting old ideas: statistical
  mechanics approaches and complex learning behavior
Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior
Charles H. Martin
Michael W. Mahoney
AI4CE
17
62
0
26 Oct 2017
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