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Noise in Classification

Noise in Classification

10 October 2020
Maria-Florina Balcan
Nika Haghtalab
ArXivPDFHTML

Papers citing "Noise in Classification"

7 / 7 papers shown
Title
Tester-Learners for Halfspaces: Universal Algorithms
Tester-Learners for Halfspaces: Universal Algorithms
Aravind Gollakota
Adam R. Klivans
Konstantinos Stavropoulos
Arsen Vasilyan
37
8
0
19 May 2023
Reliable learning in challenging environments
Reliable learning in challenging environments
Maria-Florina Balcan
Steve Hanneke
Rattana Pukdee
Dravyansh Sharma
OOD
30
4
0
06 Apr 2023
An Efficient Tester-Learner for Halfspaces
An Efficient Tester-Learner for Halfspaces
Aravind Gollakota
Adam R. Klivans
Konstantinos Stavropoulos
Arsen Vasilyan
27
10
0
28 Feb 2023
Improved Algorithms for Efficient Active Learning Halfspaces with
  Massart and Tsybakov noise
Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov noise
Chicheng Zhang
Yinan Li
27
24
0
10 Feb 2021
Provable Generalization of SGD-trained Neural Networks of Any Width in
  the Presence of Adversarial Label Noise
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
Spencer Frei
Yuan Cao
Quanquan Gu
FedML
MLT
70
19
0
04 Jan 2021
Learning Halfspaces with Massart Noise Under Structured Distributions
Learning Halfspaces with Massart Noise Under Structured Distributions
Ilias Diakonikolas
Vasilis Kontonis
Christos Tzamos
Nikos Zarifis
32
59
0
13 Feb 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
317
5,847
0
08 Jul 2016
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