Who Cited It

Yoshua Bengio

high confidence · 26 work(s) in this corpus · 476,665 citations across 1,232 works in OpenAlex · ORCID 0000-0002-9322-3515

24 of 82 collaborators, ranked by collaboration weight rather than by shared-paper count. Dashed lines are collaborations between the collaborators. See how the weight is computed.
Yoshua Bengio collaborator line weight = collaboration weight

Works in this corpus

TitlePositionYearCited
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translationlast201425,048
Neural Machine Translation by Jointly Learning to Align and Translatelast201414,615
Understanding the difficulty of training deep feedforward neural networkslast201012,673
Deep Learningmiddle20168,952
Learning long-term dependencies with gradient descent is difficultfirst19948,610
Graph Attention Networkslast20178,400
Learning Deep Architectures for AIfirst20096,951
On the Properties of Neural Machine Translation: Encoder–Decoder Approacheslast20146,683
Deep Sparse Rectifier Neural Networkslast20115,428
Curriculum learningfirst20095,154
Learning Deep Architectures for AIfirst20095,077
Proceedings of the 21st International Conference on Neural Information Processing Systemsmiddle20084,492
On the difficulty of training Recurrent Neural Networkslast20123,801
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translationlast20143,518
Algorithms for Hyper-Parameter Optimizationmiddle20113,188
Why Does Unsupervised Pre-training Help Deep Learning?middle20102,114
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computationfirst20131,996
Practical Recommendations for Gradient-Based Training of Deep Architecturesfirst20121,960
Word Representations: A Simple and General Method for Semi-Supervised Learninglast20101,941
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringmiddle20181,743
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Modelsmiddle20161,725
Challenges in Representation Learning: A Report on Three Machine Learning Contestslast20131,588
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approachlast20111,562
A Structured Self-attentive Sentence Embeddinglast20171,473
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activationslast20161,420
Learning deep representations by mutual information estimation and maximizationlast20181,393

Is this one person?

This record carries a person-claimed ORCID and no signal that it mixes two people.

  • supportsAn ORCID is claimed by a person, not inferred, so it is the only identity assertion here that a human made.
  • supports2 distinct name form(s) across this row's works, counting a spelled-out given name and its initial as one form.
  • supportsAt most 5 distinct institution(s) inside any five-year window, which is a normal career.
  • supports93% of this row's works sit in its single largest field.
  • neutralConfidence is judged on the 26 work(s) this corpus holds, not on the author's whole output. A single-work row carries little evidence either way.

Affiliations

Université de Montréal (1994–2016), Polytechnique Montréal (2014–2014), Constructor University (2014–2014), Alcatel Lucent (Germany) (2014–2014), Canadian Institute for Advanced Research (2014–2014), Queen's University (1994–1994), AT&T (United States) (1994–1994)

In this corpus

h-index 26 over the works held here, which is a number about this corpus and not about a career.

OpenAlex record