Who Cited It

Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach

2017 · 1,464 citations · 1 from inside this corpus

Giorgio Patrini low, Alessandro Rozza, Aditya Krishna Menon, Richard Nock, Lizhen Qu

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach (2017)Making Deep Neural Networks R…Long Short-Term Memory (1997)Long Short-Term MemoryDropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2015)Batch Normalization: Accelera…Understanding the difficulty of training deep feedforward neural networks (2010)Understanding the difficulty …Adaptive Subgradient Methods for Online Learning and Stochastic Optimization (2010)Adaptive Subgradient Methods …Learning Word Vectors for Sentiment Analysis (2011)Learning Word Vectors for Sen…Classification in the Presence of Label Noise: A Survey (2014)Classification in the Presenc…Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels (2018)Generalized Cross Entropy Los…
8 of 8 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
Dropout: a simple way to prevent neural networks from overfitting201434,236
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…201524,404
Understanding the difficulty of training deep feedforward neural networks201012,673
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization20108,621
Learning Word Vectors for Sentiment Analysis20113,294
Classification in the Presence of Label Noise: A Survey20141,777

What cites it, inside the corpus

PaperYearCited
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels20181,477

Links

DOI · OpenAlex record

Topics

Machine Learning and Data ClassificationComputer Science
Advanced Neural Network ApplicationsComputer Science
Adversarial Robustness in Machine LearningComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports5 author record(s) attached.
  • supports71 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:58+00:00.

sha256 88a60cdbb94c6a13…