Ronan Collobert

Active 2000–2026

114
Papers
31,090
Citations
50
h-index
89
i10-index

Citations

Citations per year for Ronan Collobert1928: 1 citations1963: 1 citations1972: 1 citations1979: 1 citations1980: 1 citations1981: 1 citations1986: 1 citations1991: 1 citations1994: 1 citations1997: 2 citations2000: 2 citations2001: 21 citations2002: 23 citations2003: 36 citations2004: 63 citations2005: 80 citations2006: 91 citations2007: 97 citations2008: 115 citations2009: 130 citations2010: 203 citations2011: 189 citations2012: 237 citations2013: 382 citations2014: 645 citations2015: 1,148 citations2016: 1,678 citations2017: 2,203 citations2018: 2,453 citations2019: 2,715 citations2020: 2,616 citations2021: 2,558 citations2022: 1,608 citations2023: 1,490 citations2024: 1,226 citations2025: 1,022 citations2026: 287 citations1929–1962: no citations, so these years are not shown1964–1971: no citations, so these years are not shown1973–1978: no citations, so these years are not shown1982–1985: no citations, so these years are not shown1987–1990: no citations, so these years are not shown1992–1993: no citations, so these years are not shown1995–1996: no citations, so these years are not shown1998–1999: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 6,248 citing papers, 24.8% of this breakdownUnited States: 5,282 citing papers, 21% of this breakdownUnited Kingdom: 1,434 citing papers, 5.7% of this breakdownGermany: 968 citing papers, 3.9% of this breakdownFrance: 808 citing papers, 3.2% of this breakdownCanada: 800 citing papers, 3.2% of this breakdownIndia: 793 citing papers, 3.2% of this breakdownAustralia: 704 citing papers, 2.8% of this breakdownJapan: 654 citing papers, 2.6% of this breakdownSouth Korea: 594 citing papers, 2.4% of this breakdownSingapore: 584 citing papers, 2.3% of this breakdownHong Kong: 538 citing papers, 2.1% of this breakdown
0%24.8%Other 22.8%

Fields

  • Computer Science81.6%
  • Engineering6.5%
  • Medicine2.1%
  • Biochemistry, Genetics and Molecular Biology2.1%
  • Psychology1.3%
  • Social Sciences1.1%
  • Other5.3%

Topics

  • Topic Modeling10.3%
  • Natural Language Processing Techniques7.9%
  • Speech Recognition and Synthesis3.9%
  • Advanced Neural Network Applications3.6%
  • Domain Adaptation and Few-Shot Learning3.3%
  • Multimodal Machine Learning Applications2.8%
  • Other68.2%

Coauthors

All papers

Open in search
  1. Curriculum learning

    Authors: , , , - Conference on Machine Learning, ICML 2009 cited by 4,978

  2. MLS: A Large-Scale Multilingual Dataset for Speech Research

    Authors: , , , , - Interspeech 2020 cited by 399

  3. wav2vec: Unsupervised Pre-Training for Speech Recognition

    Authors: , , , - Interspeech 2019 cited by 464

  4. A unified architecture for natural language processing: deep neural networks with multitask learning

    Authors: , - conference on Machine learning - ICML '08 2008 cited by 5,204

  5. Libri-Light: A Benchmark for ASR with Limited or No Supervision

    Authors: , , , , , , , , , , , , , , - ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020 cited by 458

  6. Unsupervised Cross-Lingual Representation Learning for Speech Recognition

    Authors: , , , , - Interspeech 2021 cited by 304

  7. From image-level to pixel-level labeling with Convolutional Networks

    Authors: , - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015 cited by 724

  8. Learning to Refine Object Segments

    Authors: , , , - Lecture notes in computer science, ECCV (1) 2016 cited by 766

  9. openalex_id:w2962972512

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Vigas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng, Miguel Almeida, F Andr, Martins, Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio, Regina Barzilay, Michael Elhadad, Samy Bengio, Navdeep Jaitly, Noam Shazeer, Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein, Ziqiang Cao, Chengyao Chen, Wenjie Li, Sujian Li, Furu Wei, Ming Zhou, Jaime Carbonell, Jade Goldstein, Ciprian Chelba, Tomas Mikolov, Qi Ge, Thorsten Brants, Phillipp Koehn, Tony Robinson, Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei, Hui Jiang, Jianpeng Cheng, James Clarke, Ronan Collobert, Jason Weston, Lon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel Kuksa, Gnes Erkan, Dragomir Radev, Elena Filatova, Vasileios Hatzivassiloglou, Katja Filippova, Enrique Alfonseca, Carlos Colmenares, Sebastian Hen, Margot Mieskes, Iryna Gurevych, Karl Moritz Hermann, Tom Koisk, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman and 143 more cited by 542

  10. Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training

    Authors: , , , , , , , , , , - Interspeech 2021 cited by 96

  11. openalex_id:w3154735894

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang, Lucas Drumond, Steffen Rendle, Lars Schmidt-Thieme, Kawin Ethayarajh, Dieter Fensel, Umutcan Simsek, Kevin Angele, Elwin Huaman, Elias Krle, Oleksandra Panasiuk, Ioan Toma, Jrgen Umbrich, Alexander Wahler, Emma Gerritse, Faegheh Hasibi, Arjen De Vries, Swapnil Gupta, Sreyash Kenkre, Partha Talukdar, William Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec, William Hamilton, Zhitao Ying, Jure Leskovec, Faegheh Hasibi, Fedor Nikolaev, Chenyan Xiong, Krisztian Balog, Erik Svein, Alexander Bratsberg, Jamie Kotov, Callan, Pascal Hitzler, Federico Bianchi, Monireh Ebrahimi, Md Sarker, Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li, Ganesh Jawahar, Benot Sagot, Djam Seddah, Rudolf Kadlec, Ondrej Bajgar, Jan Kleindienst, Seyed Mehran, Kazemi, David Poole, Thomas Kipf and 137 more cited by 83

  12. Video (language) modeling: a baseline for generative models of natural videos

    Authors: , , , , , - arXiv (Cornell University), CoRR 2014 cited by 310

  13. Inference with the Universum

    Authors: , , , , - conference on Machine learning - ICML '06 2006 cited by 210

  14. End-to-end acoustic modeling using convolutional neural networks for HMM-based automatic speech recognition

    Authors: , , - Speech Communication, Speech Commun. 2019 cited by 166

  15. End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures

    Authors: , , , , , , , , - arXiv (Cornell University), CoRR 2019 cited by 166

  16. Embarrassingly Simple Self-Distillation Improves Code Generation

    Authors: , , , , , - ArXiv.org, CoRR 2026 cited by 19

  17. Natural Language Processing (Almost) from Scratch

    Authors: , , , , , - J. Mach. Learn. Res. 2011 cited by 5,182

  18. Rethinking Evaluation in ASR: Are Our Models Robust Enough?

    Authors: , , , , , , , - Interspeech 2021 cited by 50

  19. Deep learning via semi-supervised embedding

    Authors: , , - conference on Machine learning - ICML '08 2008 cited by 389

  20. Wav2Letter++: A Fast Open-source Speech Recognition System

    Authors: , , , , , , , - ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019 cited by 170

  21. Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters

    Authors: , , , , , , - Interspeech 2020 cited by 44

  22. Links between perceptrons, MLPs and SVMs

    Authors: , - Twenty-first international conference on Machine learning - ICML '04 2004 cited by 307

  23. Wav2Letter: an End-to-End ConvNet-based Speech Recognition System

    Authors: , , - arXiv (Cornell University), CoRR 2016 cited by 248

  24. Iterative Pseudo-Labeling for Speech Recognition

    Authors: , , , , , - Interspeech 2020 cited by 100