Who Cited It

Deep Learning

2016 · 8,952 citations · 19 from inside this corpus

Ian Goodfellow, Yoshua Bengio, Aaron Courville

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.

Deep Learning (2016)Deep LearningDeep learning and process understanding for data-driven Earth system science (2019)Deep learning and process und…Machine Learning: Algorithms, Real-World Applications and Research Directions (2021)Machine Learning: Algorithms,…Practical Secure Aggregation for Privacy-Preserving Machine Learning (2017)Practical Secure Aggregation …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…Generalizing from a Few Examples (2020)Generalizing from a Few Examp…A survey on semi-supervised learning (2019)A survey on semi-supervised l…Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Researc… (2021)Deep Learning: A Comprehensiv…Relational inductive biases, deep learning, and graph networks (2018)Relational inductive biases, …On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection (2019)MVTec AD — A Comprehensive Re…A brief introduction to weakly supervised learning (2017)A brief introduction to weakl…CatBoost for big data: an interdisciplinary review (2020)CatBoost for big data: an int…On Calibration of Modern Neural Networks (2017)On Calibration of Modern Neur…Deep Learning for Anomaly Detection: A Review (2020)Deep Learning for Anomaly Det…Over-the-Air Deep Learning Based Radio Signal Classification (2018)Document Modeling with Gated Recurrent Neural Network for Sentiment Classification (2015)Document Modeling with Gated …Anomaly Detection with Robust Deep Autoencoders (2017)Anomaly Detection with Robust…Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications (2021)Explaining Deep Neural Networ…
19 of 19 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 cites it, inside the corpus

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 8,952 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 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…