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Career

· Research Scientist, Post-doc, PhD Student, Undergraduate, Alumni, Staff, Faculty, Research Staff, Visiting Scholar, Graduate Student (various roles), Berkeley Artificial Intelligence Research Lab (BAIR)2026–

Publications (17)

Learning with Symmetric Label Noise: The Importance of Being Unhinged
Neural Information Processing Systems · 2015
339
cited
Learning from Corrupted Binary Labels via Class-Probability Estimation
International Conference on Machine Learning · 2015
251
cited
A Theory of Learning with Corrupted Labels
Journal of machine learning research · 2017
99
cited
Learning from binary labels with instance-dependent noise
Machine-mediated learning · 2018
73
cited
A simple measurement of the isotopic abundance of 40K
arXiv.org · 1978
52
cited
Learning from Binary Labels with Instance-Dependent Corruption
arXiv.org · 2016
44
cited
Learning in the Presence of Corruption
arXiv.org · 2015
17
cited
Interpretive discourses in South Africa's Education White Paper No. 6 : Special Needs Education
2003
16
cited
Sparse Robust Classification via the Kernel Mean
2015
11
cited
(DE)CONSTRUCTIONS OF FUNCTIONALIST DISCOURSES IN SOUTH AFRICA'S EDUCATION WHITE PAPER 6: SPECIALS NEEDS EDUCATION
2002
9
cited
Machine learning via transitions
2015
8
cited
A Theory of Feature Learning
arXiv.org · 2015
7
cited
(De)constructing systems discourses in South Africa's Education White Paper 6: Special Needs Education
Acta Academica · 2003
7
cited
(De)constructions of Radical Humanist Discourses in South Africa's Education White Paper 6.
2004
7
cited
In/exclusion and (dis)ability : (de)constructions of Education White Paper 6 : special needs education
2002
3
cited
Le Cam meets LeCun: Deficiency and Generic Feature Learning
2014
1
cited
Conjugate priors for generalized MaxEnt families
2014
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