BengioYoshua

8.4k total citations · 4 hit papers
10 papers, 6.8k citations indexed

About

BengioYoshua is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, BengioYoshua has authored 10 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in BengioYoshua's work include Neural Networks and Applications (6 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Natural Language Processing Techniques (2 papers). BengioYoshua is often cited by papers focused on Neural Networks and Applications (6 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Natural Language Processing Techniques (2 papers). BengioYoshua collaborates with scholars based in . BengioYoshua's co-authors include and has published in prestigious journals such as Journal of Machine Learning Research.

In The Last Decade

BengioYoshua

10 papers receiving 6.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

2010 3.5k citations BengioYoshua et al. Journal of Machine Learning Research profile →
A neural probabilistic language model

2003 2.2k citations BengioYoshua et al. Journal of Machine Learning Research profile →
No Unbiased Estimator of the Variance of K-Fold Cross-Validation

2004 501 citations BengioYoshua et al. Journal of Machine Learning Research profile →
Random search for hyper-parameter optimization

2012 412 citations BengioYoshua et al. Journal of Machine Learning Research profile →

Peers

BengioYoshua

AI

CVPR

SP

IS

EEE

Dale Schuurmans Canada

Fu-Lai Chung Hong Kong

Aristidis Likas Greece

Rui Xu China

Fuzhen Zhuang China

Michel Verleysen Belgium

Lipo Wang Singapore

Dingding Wang United States

Tong Zhang China

Zhiwen Yu China

Dale Schuurmans Canada

BengioYoshua

4.2k ×1.1

AI

1.9k ×1.0

CVPR

490 ×0.7

SP

630 ×1.0

IS

305 ×0.7

EEE

Citations per year, relative to BengioYoshua BengioYoshua (= 1×) peers Dale Schuurmans

Countries citing papers authored by BengioYoshua

Since Specialization

Citations

This map shows the geographic impact of BengioYoshua's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by BengioYoshua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites BengioYoshua more than expected).

Fields of papers citing papers by BengioYoshua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by BengioYoshua. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by BengioYoshua. The network helps show where BengioYoshua may publish in the future.

No nodes

All Works

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10 of 10 papers shown

1.

BengioYoshua, et al.. (2017). Quantized neural networks. Journal of Machine Learning Research. 75 indexed citations

2.

BengioYoshua, et al.. (2015). Using recurrent neural networks for slot filling in spoken language understanding. 7 indexed citations

3.

BengioYoshua, et al.. (2014). What regularized auto-encoders learn from the data-generating distribution. Journal of Machine Learning Research. 131 indexed citations

4.

BengioYoshua, et al.. (2012). Random search for hyper-parameter optimization. Journal of Machine Learning Research. 412 indexed citations breakdown →

5.

BengioYoshua, et al.. (2010). Why Does Unsupervised Pre-training Help Deep Learning?. Journal of Machine Learning Research. 49 indexed citations

6.

BengioYoshua, et al.. (2010). Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion. Journal of Machine Learning Research. 3477 indexed citations breakdown →

7.

BengioYoshua, et al.. (2009). Incorporating Functional Knowledge in Neural Networks. Journal of Machine Learning Research. 26 indexed citations

8.

BengioYoshua, et al.. (2009). Exploring Strategies for Training Deep Neural Networks. Journal of Machine Learning Research. 12 indexed citations

9.

BengioYoshua, et al.. (2004). No Unbiased Estimator of the Variance of K-Fold Cross-Validation. Journal of Machine Learning Research. 501 indexed citations breakdown →

10.

BengioYoshua, et al.. (2003). A neural probabilistic language model. Journal of Machine Learning Research. 2153 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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