Learning from binary labels with instance-dependent noise
type: Item
instance of: scholarly article
title: Learning from binary labels with instance-dependent noise
zbMATH Open document ID: 1475.68286
author: Aditya Krishna Menon
author: Brendan van Rooyen
author: Nagarajan Natarajan
published in: Machine Learning
publication date: 2018-12-07T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6990194
zbMATH Keywords: label noise
zbMATH Keywords: instance-dependent noise
zbMATH Keywords: consistency
cites work: AlexNet
cites work: Q2934048
cites work: Learning Theory
cites work: The Power of Localization for Efficiently Learning Linear Separators with Noise
cites work: An Empirical Distribution Function for Sampling with Incomplete Information
cites work: Convexity, Classification, and Risk Bounds
cites work: A polynomial-time algorithm for learning noisy linear threshold functions
cites work: Learning kernel logistic regression in the presence of class label noise
cites work: Ranking and empirical minimization of \(U\)-statistics
cites work: Q4881152
cites work: Agnostically Learning Halfspaces
cites work: Risk bounds for statistical learning
cites work: Q4558475
cites work: Exact Recoverability From Dense Corrupted Observations via $\ell _{1}$-Minimization
cites work: Q4413262
cites work: Classification with asymmetric label noise: consistency and maximal denoising
cites work: Learning Kernel Perceptrons on Noisy Data Using Random Projections
cites work: Dense Error Correction Via $\ell^1$-Minimization
cites work: Statistical behavior and consistency of classification methods based on convex risk minimization.
describes a project that uses: AlexNet
describes a project that uses: ImageNet
MaRDI profile type: Publication
full work available at URL: s10994-018-5715-3
OpenAlex ID: W2804975550
Wikidata QID: Q129765162
DOI: 10.1007/S10994-018-5715-3
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description: scientific article; zbMATH DE number 6990194