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Researcher · Université de Sherbrooke · Canada

Hugo Larochelle

Hugo Larochelle publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as Domain Adaptation and Few-Shot Learning, Generative Adversarial Networks and Image Synthesis and Multimodal Machine Learning Applications.

OpenAlex
World rank
#38,313
of 7,710,434 ranked researchers
Rank in Canada
#1,011
of 183,316
Works
184
Citations
63k
Citations per work
341.3
h-index
61
i10-index 120Top 0.5% in Artificial Intelligence
Hugo Larochelle

What does Hugo Larochelle research?

Hugo Larochelle's work is mostly in Computer Science (72%), Medicine (5%), Physics and Astronomy (2%).

Physical Sciences: 136 works · 73.7% of their workComputer Science: 132 works · 71.9% of their workArtificial Intelligence: 74 works · 40.1% of their workComputer Vision and Pattern Recognition: 50 works · 27.0% of their workInformation Systems: 5 works · 2.7% of their workSignal Processing: 4 works · 2.1% of their workPhysics and Astronomy: 3 works · 1.8% of their workStatistical and Nonlinear Physics: 3 works · 1.8% of their workEverything else: 40 works · 21.6% of their workHealth Sciences: 9 works · 4.7% of their workMedicine: 9 works · 4.7% of their workRadiology, Nuclear Medicine and Imaging: 9 works · 4.7% of their workTHEIR WORKHugo Larochelle184works
Physical Sciences74%Health Sciences5%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science13271.9%
    2. Physics and Astronomy31.8%
  2. Everything else4021.6%
    1. Medicine94.7%
  1. 1Artificial Intelligence40% of their works
  2. 2Computer Vision and Pattern Recognition27% of their works
  3. 3Radiology, Nuclear Medicine and Imaging5% of their works
  4. 4Information Systems3% of their works
  5. 5Signal Processing2% of their works
  6. 6Statistical and Nonlinear Physics2% of their works

Research topics

Which keywords describe Hugo Larochelle's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Representation Learning, Unsupervised Learning, Meta-Learning, Domain Adaptation, Transfer Learning and Generative Adversarial Networks.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 21 words, with their numbers
  1. Neural Networks1004 topics
  2. Deep Learning884 topics
  3. Representation Learning752 topics
  4. Unsupervised Learning752 topics
  5. Meta-Learning592 topics
  6. Domain Adaptation431 topic
  7. Transfer Learning431 topic
  8. Generative Adversarial Networks321 topic
  9. Image Synthesis321 topic
  10. Image Captioning311 topic
  11. Visual Question Answering311 topic
  12. Machine Translation251 topic
  13. Word Representation251 topic
  14. Hyperparameter Optimization161 topic
  15. Noisy Labels161 topic
  16. Neural Machine Translation141 topic
  17. Statistical Machine Translation141 topic
  18. Convolutional Neural Networks131 topic
  19. Image Recognition131 topic
  20. Backpropagation Learning121 topic
  21. Self-Organizing Maps121 topic

Where does Hugo Larochelle work?

Hugo Larochelle's main affiliation in the publication record is Université de Sherbrooke, Canada.

How many publications and citations does Hugo Larochelle have?

OpenAlex counts 184 works and 62,797 citations for Hugo Larochelle, an h-index of 61, ranking #38,313 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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