Who Cited It

Deep learning in neural networks: An overview

2014 · Neural Networks · 18,236 citations · 24 from inside this corpus

Jürgen Schmidhuber

No abstract in the source record.

Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Long Short-Term Memory (1997)Long Short-Term MemoryGenetic algorithms in search, optimization, and machine learning (1989)Genetic algorithms in search,…The Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…Adaptation in Natural and Artificial Systems (1992)Adaptation in Natural and Art…A New Approach to Linear Filtering and Prediction Problems (1960)A New Approach to Linear Filt…Reinforcement Learning: An Introduction (1998)Reinforcement Learning: An In…Reinforcement Learning: An Introduction (2005)Reinforcement Learning: An In…A Survey on Transfer Learning (2009)A Survey on Transfer LearningArtificial intelligence: a modern approach (1995)Artificial intelligence: a mo…Multilayer feedforward networks are universal approximators (1989)Multilayer feedforward networ…Reducing the Dimensionality of Data with Neural Networks (2006)Reducing the Dimensionality o…Bagging Predictors (1996)Bagging PredictorsA Fast Learning Algorithm for Deep Belief Nets (2006)A Fast Learning Algorithm for…Bagging predictors (1996)Bagging predictorsLearning Internal Representations by Error Propagation (1985)Learning Internal Representat…Genetic Algorithms (2002)Sequence to Sequence Learning with Neural Networks (2014)Sequence to Sequence Learning…Genetic Programming: On the Programming of Computers by Means of Natural Selection (1992)Genetic Programming: On the P…Machine learning: Trends, perspectives, and prospects (2015)Machine learning: Trends, per…Deep learning and process understanding for data-driven Earth system science (2019)Deep learning and process und…Deep Learning in Medical Image Analysis (2017)Deep Learning in Medical Imag…Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review (2017)Deep Convolutional Neural Net…A survey of deep neural network architectures and their applications (2016)A survey of deep neural netwo…Deep learning with coherent nanophotonic circuits (2017)Deep learning with coherent n…Deep learning for healthcare: review, opportunities and challenges (2017)Deep learning for healthcare:…Classification and mutation prediction from non–small cell lung cancer histopathology ima… (2018)Classification and mutation p…Survey on deep learning with class imbalance (2019)Survey on deep learning with …Deep learning and its applications to machine health monitoring (2018)Deep learning and its applica…Federated Learning in Mobile Edge Networks: A Comprehensive Survey (2020)Federated Learning in Mobile …Relational inductive biases, deep learning, and graph networks (2018)Relational inductive biases, …Recent advances in physical reservoir computing: A review (2019)Recent advances in physical r…Automatic differentiation in machine learning: a survey (2017)Automatic differentiation in …Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems (2017)Causability and explainability of artificial intelligence in medicine (2019)Causability and explainabilit…Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Excit… (2016)Guest Editorial Deep Learning…End-to-end training of deep visuomotor policies (2016)End-to-end training of deep v…
36 of 60 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
Genetic algorithms in search, optimization, and machine learning198949,344
The Nature of Statistical Learning Theory199539,409
Adaptation in Natural and Artificial Systems199235,569
A New Approach to Linear Filtering and Prediction Problems196031,488
Reinforcement Learning: An Introduction199827,409
Reinforcement Learning: An Introduction200525,758
A Survey on Transfer Learning200923,670
Artificial intelligence: a modern approach199522,262
Multilayer feedforward networks are universal approximators198921,633
Reducing the Dimensionality of Data with Neural Networks200621,247
Bagging Predictors199617,191
A Fast Learning Algorithm for Deep Belief Nets200616,540
Bagging predictors199616,468
Learning Internal Representations by Error Propagation198516,273
Genetic Algorithms200216,154
Sequence to Sequence Learning with Neural Networks201413,351
Genetic Programming: On the Programming of Computers by Means of Natural Selection199213,277

What cites it, inside the corpus

PaperYearCited
Machine learning: Trends, perspectives, and prospects20159,947
Deep learning and process understanding for data-driven Earth system science20195,475
Deep Learning in Medical Image Analysis20174,917
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review20173,570
A survey of deep neural network architectures and their applications20163,285
Deep learning with coherent nanophotonic circuits20173,187
Deep learning for healthcare: review, opportunities and challenges20173,115
Classification and mutation prediction from non–small cell lung cancer histopathology ima…20182,987
Survey on deep learning with class imbalance20192,971
Deep learning and its applications to machine health monitoring20182,803
Federated Learning in Mobile Edge Networks: A Comprehensive Survey20202,538
Relational inductive biases, deep learning, and graph networks20182,406
Recent advances in physical reservoir computing: A review20192,125
Automatic differentiation in machine learning: a survey20172,094
Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems20172,053
Causability and explainability of artificial intelligence in medicine20191,851
Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Excit…20161,748
End-to-end training of deep visuomotor policies20161,706

Links

DOI · Open access copy · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Reinforcement Learning in RoboticsComputer Science
Domain Adaptation and Few-Shot LearningComputer Science

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complete

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

  • supports1 author record(s) attached.
  • supports1,242 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 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…