Who Cited It

Improving neural networks by preventing co-adaptation of feature detectors

2012 · arXiv (Cornell University) · 6,653 citations · 21 from inside this corpus

Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov low

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.

Improving neural networks by preventing co-adaptation of feature detectors (2012)Improving neural networks by …Random Forests (2001)Random ForestsLearning representations by back-propagating errors (1986)Learning representations by b…Reducing the Dimensionality of Data with Neural Networks (2006)Reducing the Dimensionality o…Bagging Predictors (1996)Bagging PredictorsAdaptive Mixtures of Local Experts (1991)Adaptive Mixtures of Local Ex…Training Products of Experts by Minimizing Contrastive Divergence (2002)Training Products of Experts …Bayesian Learning for Neural Networks (1996)Bayesian Learning for Neural …Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition (2011)Context-Dependent Pre-Trained…Acoustic Modeling Using Deep Belief Networks (2011)Acoustic Modeling Using Deep …Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Distilling the Knowledge in a Neural Network (2015)Distilling the Knowledge in a…Convolutional Neural Networks for Sentence Classification (2014)Convolutional Neural Networks…Neural Architectures for Named Entity Recognition (2016)Neural Architectures for Name…A Convolutional Neural Network for Modelling Sentences (2014)A Convolutional Neural Networ…Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review (2017)Deep Convolutional Neural Net…DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (2013)DeCAF: A Deep Convolutional A…Character-level Convolutional Networks for Text Classification (2015)Character-level Convolutional…Learning Transferable Features with Deep Adaptation Networks (2015)Learning Transferable Feature…Knowledge Graph Embedding: A Survey of Approaches and Applications (2017)Knowledge Graph Embedding: A …Deep learning applications and challenges in big data analytics (2015)Deep learning applications an…[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)][No title in the source recor…DeViSE: A Deep Visual-Semantic Embedding Model (2013)DeViSE: A Deep Visual-Semanti…Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification (2016)Attention-Based Bidirectional…Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation (2013)Estimating or Propagating Gra…A Fast and Accurate Dependency Parser using Neural Networks (2014)A Fast and Accurate Dependenc…Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks (2018)Feature Squeezing: Detecting …Deep Learning: Methods and Applications (2014)Deep Learning: Methods and Ap…A continual learning survey: Defying forgetting in classification tasks (2021)A continual learning survey: …Deep Speech: Scaling up end-to-end speech recognition (2014)Deep Speech: Scaling up end-t…
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What this paper cites, inside the corpus

PaperYearCited
Random Forests2001131,109
Learning representations by back-propagating errors198631,688
Reducing the Dimensionality of Data with Neural Networks200621,247
Bagging Predictors199617,191
Adaptive Mixtures of Local Experts19915,234
Training Products of Experts by Minimizing Contrastive Divergence20025,032
Bayesian Learning for Neural Networks19964,397
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition20113,089
Acoustic Modeling Using Deep Belief Networks20111,752

What cites it, inside the corpus

PaperYearCited
Adam: A Method for Stochastic Optimization201484,698
Deep learning in neural networks: An overview201418,236
Distilling the Knowledge in a Neural Network201514,099
Convolutional Neural Networks for Sentence Classification201413,987
Neural Architectures for Named Entity Recognition20164,482
A Convolutional Neural Network for Modelling Sentences20143,571
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review20173,570
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition20133,564
Character-level Convolutional Networks for Text Classification20153,280
Learning Transferable Features with Deep Adaptation Networks20152,839
Knowledge Graph Embedding: A Survey of Approaches and Applications20172,703
Deep learning applications and challenges in big data analytics20152,610
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]2,485
DeViSE: A Deep Visual-Semantic Embedding Model20132,068
Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification20162,062
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation20131,996
A Fast and Accurate Dependency Parser using Neural Networks20141,884
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks20181,882
Deep Learning: Methods and Applications20141,801
A continual learning survey: Defying forgetting in classification tasks20211,648
Deep Speech: Scaling up end-to-end speech recognition20141,519

Links

DOI · Open access copy · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Advanced Neural Network ApplicationsComputer Science
Domain Adaptation and Few-Shot 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.
  • supports18 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

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