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On the Convergence of A Family of Robust Losses for Stochastic Gradient
  Descent

On the Convergence of A Family of Robust Losses for Stochastic Gradient Descent

5 May 2016
Bo Han
Ivor W. Tsang
Ling-Hao Chen
    NoLa
ArXiv (abs)PDFHTML

Papers citing "On the Convergence of A Family of Robust Losses for Stochastic Gradient Descent"

6 / 6 papers shown
Title
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
331
377
0
07 Dec 2020
Image Classification with Deep Learning in the Presence of Noisy Labels:
  A Survey
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
G. Algan
ilkay Ulusoy
NoLaVLM
96
334
0
11 Dec 2019
Learning with Inadequate and Incorrect Supervision
Learning with Inadequate and Incorrect Supervision
Chen Gong
Hengmin Zhang
Jian Yang
Dacheng Tao
51
33
0
20 Feb 2019
Mitigating Sybils in Federated Learning Poisoning
Mitigating Sybils in Federated Learning Poisoning
Clement Fung
Chris J. M. Yoon
Ivan Beschastnikh
AAML
73
509
0
14 Aug 2018
Masking: A New Perspective of Noisy Supervision
Masking: A New Perspective of Noisy Supervision
Bo Han
Jiangchao Yao
Gang Niu
Mingyuan Zhou
Ivor Tsang
Ya Zhang
Masashi Sugiyama
NoLa
96
256
0
21 May 2018
Millionaire: A Hint-guided Approach for Crowdsourcing
Millionaire: A Hint-guided Approach for Crowdsourcing
Bo Han
Quanming Yao
Yuangang Pan
Ivor W. Tsang
Xiaokui Xiao
Qiang Yang
Masashi Sugiyama
LRM
43
4
0
26 Feb 2018
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