Who Cited It

Neural Networks: Tricks of the Trade

2012 · Lecture notes in computer science · 2,159 citations · 10 from inside this corpus

No author records on this work.

No abstract in the source record.

Neural Networks: Tricks of the Trade (2012)Neural Networks: Tricks of th…Practical Recommendations for Gradient-Based Training of Deep Architectures (2012)Practical Recommendations for…Stochastic Gradient Descent Tricks (2012)Stochastic Gradient Descent T…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…A survey on deep learning in medical image analysis (2017)A survey on deep learning in …Learning Deep Architectures for AI (2009)Learning Deep Architectures f…Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review (2017)Deep Convolutional Neural Net…On the importance of initialization and momentum in deep learning (2013)On the importance of initiali…An introduction to kernel-based learning algorithms (2001)An introduction to kernel-bas…Methods for interpreting and understanding deep neural networks (2017)Methods for interpreting and …Recent advances in physical reservoir computing: A review (2019)Recent advances in physical r…Learning deep structured semantic models for web search using clickthrough data (2013)Learning deep structured sema…Explaining nonlinear classification decisions with deep Taylor decomposition (2016)Explaining nonlinear classifi…
12 of 12 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.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Practical Recommendations for Gradient-Based Training of Deep Architectures20121,960
Stochastic Gradient Descent Tricks20121,944

What cites it, inside the corpus

PaperYearCited
Deep learning in neural networks: An overview201418,236
A survey on deep learning in medical image analysis201715,110
Learning Deep Architectures for AI20095,077
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review20173,570
On the importance of initialization and momentum in deep learning20133,523
An introduction to kernel-based learning algorithms20013,498
Methods for interpreting and understanding deep neural networks20172,763
Recent advances in physical reservoir computing: A review20192,125
Learning deep structured semantic models for web search using clickthrough data20132,099
Explaining nonlinear classification decisions with deep Taylor decomposition20161,413

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.

  • weakensThe source lists no authors for this work at all, so there is nobody to attribute it to and it appears on no author page.
  • supports25 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 2026-09-04T03:58:50+00:00.

sha256 86a6d6715ff540a0…