Who Cited It

Practical Recommendations for Gradient-Based Training of Deep Architectures

2012 · Lecture notes in computer science · 1,960 citations · 5 from inside this corpus

Yoshua Bengio

No abstract in the source record.

Practical Recommendations for Gradient-Based Training of Deep Architectures (2012)Practical Recommendations for…Learning representations by back-propagating errors (1986)Learning representations by b…Bagging Predictors (1996)Bagging PredictorsA Fast Learning Algorithm for Deep Belief Nets (2006)A Fast Learning Algorithm for…Indexing by latent semantic analysis (1990)Indexing by latent semantic a…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 Deep Architectures for AI (2009)Learning Deep Architectures f…Deep Sparse Rectifier Neural Networks (2011)Deep Sparse Rectifier Neural …Natural Language Processing (almost) from Scratch (2011)Natural Language Processing (…Curriculum learning (2009)Curriculum learningLearning Deep Architectures for AI (2009)Learning Deep Architectures f…Neural Networks and the Bias/Variance Dilemma (1992)Neural Networks and the Bias/…Algorithms for Hyper-Parameter Optimization (2011)Algorithms for Hyper-Paramete…Markov logic networks (2006)Markov logic networksWhy Does Unsupervised Pre-training Help Deep Learning? (2010)Why Does Unsupervised Pre-tra…Learning and development in neural networks: the importance of starting small (1993)Learning and development in n…Stochastic Gradient Descent Tricks (2012)Stochastic Gradient Descent T…Introduction to Statistical Relational Learning (2007)Introduction to Statistical R…Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach (2011)Domain Adaptation for Large-S…Connectionist learning procedures (1989)Connectionist learning proced…A survey on deep learning in medical image analysis (2017)A survey on deep learning in …Deep learning for healthcare: review, opportunities and challenges (2017)Deep learning for healthcare:…Neural Networks: Tricks of the Trade (2012)Neural Networks: Tricks of th…Deep Learning for Health Informatics (2016)Deep Learning for Health Info…Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models (2016)Building End-To-End Dialogue …
25 of 25 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
Learning representations by back-propagating errors198631,688
Bagging Predictors199617,191
A Fast Learning Algorithm for Deep Belief Nets200616,540
Indexing by latent semantic analysis199012,850
Understanding the difficulty of training deep feedforward neural networks201012,673
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization20108,621
Learning Deep Architectures for AI20096,951
Deep Sparse Rectifier Neural Networks20115,428
Natural Language Processing (almost) from Scratch20115,174
Curriculum learning20095,154
Learning Deep Architectures for AI20095,077
Neural Networks and the Bias/Variance Dilemma19923,612
Algorithms for Hyper-Parameter Optimization20113,188
Markov logic networks20062,684
Why Does Unsupervised Pre-training Help Deep Learning?20102,114
Learning and development in neural networks: the importance of starting small19932,029
Stochastic Gradient Descent Tricks20121,944
Introduction to Statistical Relational Learning20071,645
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach20111,562
Connectionist learning procedures19891,466

What cites it, inside the corpus

PaperYearCited
A survey on deep learning in medical image analysis201715,110
Deep learning for healthcare: review, opportunities and challenges20173,115
Neural Networks: Tricks of the Trade20122,159
Deep Learning for Health Informatics20162,015
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models20161,725

Links

DOI · OpenAlex record

Topics

Machine Learning and Data ClassificationComputer Science
Generative Adversarial Networks and Image SynthesisComputer Science
Stochastic Gradient Optimization TechniquesComputer Science

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complete

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

  • supports1 author record(s) attached.
  • supports123 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:52+00:00.

sha256 930f5bc64fea8a60…