Who Cited It

Neural Architecture Search with Reinforcement Learning

2016 · arXiv (Cornell University) · 3,881 citations · 5 from inside this corpus

Barret Zoph, Quoc V. Le

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.

Neural Architecture Search with Reinforcement Learning (2016)Neural Architecture Search wi…[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics… (2015)[No title in the source recor…Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2024)Batch Normalization: Accelera…Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou… (2012)Deep Neural Networks for Acou…Simple statistical gradient-following algorithms for connectionist reinforcement learning (1992)Simple statistical gradient-f…On the importance of initialization and momentum in deep learning (2013)On the importance of initiali…Human-level concept learning through probabilistic program induction (2015)Human-level concept learning …Recurrent Neural Network Regularization (2014)Recurrent Neural Network Regu…Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions f… (2013)Making a Science of Model Sea…Deep Reinforcement Learning: A Brief Survey (2017)Deep Reinforcement Learning: …Transformer-XL: Attentive Language Models beyond a Fixed-Length Context (2019)Transformer-XL: Attentive Lan…AutoML: A survey of the state-of-the-art (2020)AutoML: A survey of the state…Pre-trained models for natural language processing: A survey (2020)Pre-trained models for natura…Automated Machine Learning (2019)Automated Machine Learning
13 of 13 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
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…201550,396
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…202415,663
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…201210,399
Simple statistical gradient-following algorithms for connectionist reinforcement learning19927,519
On the importance of initialization and momentum in deep learning20133,523
Human-level concept learning through probabilistic program induction20152,958
Recurrent Neural Network Regularization20142,289
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions f…20131,645

What cites it, inside the corpus

PaperYearCited
Deep Reinforcement Learning: A Brief Survey20174,434
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context20193,202
AutoML: A survey of the state-of-the-art20201,705
Pre-trained models for natural language processing: A survey20201,521
Automated Machine Learning20191,451

Links

DOI · Open access copy · OpenAlex record

Topics

Machine Learning and Data ClassificationComputer Science
Anomaly Detection Techniques and ApplicationsComputer Science
Neural Networks and ApplicationsComputer Science

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports45 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 2026-09-04T03:58:46+00:00.

sha256 bba2969b3567609a…