Who Cited It

Learning Internal Representations by Error Propagation

1985 · 16,273 citations · 57 from inside this corpus

David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams

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.

Learning Internal Representations by Error Propagation (1985)Learning Internal Representat…Reinforcement Learning: An Introduction (2005)Reinforcement Learning: An In…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…ANFIS: adaptive-network-based fuzzy inference system (1993)ANFIS: adaptive-network-based…Learning long-term dependencies with gradient descent is difficult (1994)Learning long-term dependenci…Simple statistical gradient-following algorithms for connectionist reinforcement learning (1992)Simple statistical gradient-f…The use of the area under the ROC curve in the evaluation of machine learning algorithms (1997)The use of the area under the…An overview of statistical learning theory (1999)An overview of statistical le…Large-Scale Machine Learning with Stochastic Gradient Descent (2010)Large-Scale Machine Learning …Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network (2020)Fundamentals of Recurrent Neu…Backpropagation through time: what it does and how to do it (1990)Backpropagation through time:…A Learning Algorithm for Continually Running Fully Recurrent Neural Networks (1989)A Learning Algorithm for Cont…Neural network ensembles (1990)Neural network ensemblesOn the approximate realization of continuous mappings by neural networks (1989)On the approximate realizatio…Supervised Machine Learning: A Review of Classification Techniques (2007)Supervised Machine Learning: …A scaled conjugate gradient algorithm for fast supervised learning (1993)A scaled conjugate gradient a…Learning to Predict by the Methods of Temporal Differences (1988)Learning to Predict by the Me…Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem (1989)Catastrophic Interference in …Neural Networks and the Bias/Variance Dilemma (1992)Neural Networks and the Bias/…Selection of relevant features and examples in machine learning (1997)Selection of relevant feature…Artificial neural networks: fundamentals, computing, design, and application (2000)Artificial neural networks: f…Learning Internal Representations by Error Propagation (1988)Learning Internal Representat…Evolving artificial neural networks (1999)Popular Ensemble Methods: An Empirical Study (1999)Popular Ensemble Methods: An …Recent Trends in Deep Learning Based Natural Language Processing [Review Article] (2018)Learning to predict by the methods of temporal differences (1988)Learning to predict by the me…Solving Multiclass Learning Problems via Error-Correcting Output Codes (1995)Solving Multiclass Learning P…Phoneme recognition using time-delay neural networks (1989)A review of uncertainty quantification in deep learning: Techniques, applications and cha… (2021)A review of uncertainty quant…Using mutual information for selecting features in supervised neural net learning (1994)The Cascade-Correlation learning architecture (2018)The Cascade-Correlation learn…On the momentum term in gradient descent learning algorithms (1999)On the momentum term in gradi…30 years of adaptive neural networks: perceptron, Madaline, and backpropagation (1990)30 years of adaptive neural n…Recent advances in physical reservoir computing: A review (2019)Recent advances in physical r…Distributed Systems: Principles and Paradigms (2001)Distributed Systems: Principl…Learning and development in neural networks: the importance of starting small (1993)Learning and development in n…Ensembling neural networks: Many could be better than all (2002)Ensembling neural networks: M…
36 of 36 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 cites it, inside the corpus

PaperYearCited
Reinforcement Learning: An Introduction200525,758
Deep learning in neural networks: An overview201418,236
ANFIS: adaptive-network-based fuzzy inference system199316,303
Learning long-term dependencies with gradient descent is difficult19948,610
Simple statistical gradient-following algorithms for connectionist reinforcement learning19927,519
The use of the area under the ROC curve in the evaluation of machine learning algorithms19977,328
An overview of statistical learning theory19996,311
Large-Scale Machine Learning with Stochastic Gradient Descent20105,695
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network20205,639
Backpropagation through time: what it does and how to do it19904,971
A Learning Algorithm for Continually Running Fully Recurrent Neural Networks19894,490
Neural network ensembles19904,288
On the approximate realization of continuous mappings by neural networks19894,235
Supervised Machine Learning: A Review of Classification Techniques20074,149
A scaled conjugate gradient algorithm for fast supervised learning19934,088
Learning to Predict by the Methods of Temporal Differences19883,970
Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem19893,815
Neural Networks and the Bias/Variance Dilemma19923,612
Selection of relevant features and examples in machine learning19973,309
Artificial neural networks: fundamentals, computing, design, and application20003,250
Learning Internal Representations by Error Propagation19883,036
Evolving artificial neural networks19993,011
Popular Ensemble Methods: An Empirical Study19992,988
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]20182,907
Learning to predict by the methods of temporal differences19882,818
Solving Multiclass Learning Problems via Error-Correcting Output Codes19952,729
Phoneme recognition using time-delay neural networks19892,650
A review of uncertainty quantification in deep learning: Techniques, applications and cha…20212,644
Using mutual information for selecting features in supervised neural net learning19942,629
The Cascade-Correlation learning architecture20182,401
On the momentum term in gradient descent learning algorithms19992,351
30 years of adaptive neural networks: perceptron, Madaline, and backpropagation19902,244
Recent advances in physical reservoir computing: A review20192,125
Distributed Systems: Principles and Paradigms20012,102
Learning and development in neural networks: the importance of starting small19932,029
Ensembling neural networks: Many could be better than all20021,990

Links

DOI · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • supports3 author record(s) attached.
  • weakensNo references are recorded despite 16,273 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…