Laurens van der Maaten

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Kilian WeinbergerCornell UniversityVerified email at cornell.edu
Gao Huang （黄高）Associate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
Zhuang LiuPhD student, UC BerkeleyVerified email at berkeley.edu
Eric PostmaProfessor Artificial Intelligence, Tilburg UniversityVerified email at uvt.nl
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)Verified email at eecs.berkeley.edu
Chuan GuoResearch Scientist, Facebook AI ResearchVerified email at fb.com
Jaap van den HerikHoogleraar Recht en Informatica, Leiden UniversityVerified email at law.leidenuniv.nl
Ishan MisraResearch Scientist, Facebook AI ResearchVerified email at fb.com
Justin JohnsonAssistant Professor, University of Michigan; Visiting Scientist, Facebook AI ResearchVerified email at umich.edu
C. Lawrence ZitnickFacebook AI ResearchVerified email at fb.com
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
bharath hariharanCornell UniversityVerified email at cs.cornell.edu
Dhruv MahajanResearch Scientist at Computer Vision Group, Facebook AIVerified email at fb.com
Armand JoulinResearch Director, Meta AIVerified email at fb.com
Awni HannunZoom AIVerified email at zoom.us
Emile HendriksOpleidingsdirecteur Computer Science TU DelftVerified email at tudelft.nl
Kaiming HeResearch Scientist, Facebook AI Research (FAIR)Verified email at fb.com
Danlu ChenUC San DiegoVerified email at ucsd.edu
Lu ZhangTU DelftVerified email at tudelft.nl

Laurens van der Maaten

Research Director, Facebook AI Research

Verified email at fb.com - Homepage

Machine Learning Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Visualizing data using t-SNE L van der Maaten, G Hinton The Journal of Machine Learning Research 9 (2579-2605), 85, 2008	28528*	2008
Densely Connected Convolutional Networks G Huang, Z Liu, L van der Maaten, KQ Weinberger IEEE Conference on Computer Vision and Pattern Recognition, 2016	26241	2016
Dimensionality reduction: A comparative review LJP Van der Maaten, EO Postma, HJ Van den Herik Technical Report TiCC TR 2009-005, 2009	3018*	2009
Accelerating t-SNE using Tree-Based Algorithms L Van Der Maaten The Journal of Machine Learning Research 15 (1), 3221-3245, 2014	2182	2014
Clevr: A diagnostic dataset for compositional language and elementary visual reasoning J Johnson, B Hariharan, L Van Der Maaten, L Fei-Fei, C Lawrence Zitnick, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017	1400	2017
Countering adversarial images using input transformations C Guo, M Rana, M Cisse, L Van Der Maaten arXiv preprint arXiv:1711.00117, 2017	968	2017
Exploring the limits of weakly supervised pretraining D Mahajan, R Girshick, V Ramanathan, K He, M Paluri, Y Li, A Bharambe, ... Proceedings of the European conference on computer vision (ECCV), 181-196, 2018	942	2018
3d semantic segmentation with submanifold sparse convolutional networks B Graham, M Engelcke, L Van Der Maaten Proceedings of the IEEE conference on computer vision and pattern …, 2018	699	2018
Self-supervised learning of pretext-invariant representations I Misra, L Maaten Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	680	2020
Condensenet: An efficient densenet using learned group convolutions G Huang, S Liu, L Van der Maaten, KQ Weinberger Proceedings of the IEEE conference on computer vision and pattern …, 2018	621	2018
Feature denoising for improving adversarial robustness C Xie, Y Wu, L Maaten, AL Yuille, K He Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	569	2019
Multi-scale dense networks for resource efficient image classification G Huang, D Chen, T Li, F Wu, L Van Der Maaten, KQ Weinberger arXiv preprint arXiv:1703.09844, 2017	558*	2017
Learning a parametric embedding by preserving local structure L van der Maaten Proceedings of AI-STATS, 2009	541	2009
Inferring and executing programs for visual reasoning J Johnson, B Hariharan, L Van Der Maaten, J Hoffman, L Fei-Fei, ... Proceedings of the IEEE international conference on computer vision, 2989-2998, 2017	460	2017
Rtsne: T-distributed stochastic neighbor embedding using Barnes-Hut implementation JH Krijthe R package version 0.13, URL https://github. com/jkrijthe/Rtsne, 2015	355	2015
Learning Visual Features from Large Weakly Supervised Data A Joulin, L van der Maaten, A Jabri, N Vasilache European Conference on Computer Vision, 2016	286	2016
Revisiting visual question answering baselines A Jabri, A Joulin, L Maaten European conference on computer vision, 727-739, 2016	270	2016
Submanifold sparse convolutional networks B Graham, L van der Maaten arXiv preprint arXiv:1706.01307, 2017	260	2017
Approximated and user steerable tSNE for progressive visual analytics N Pezzotti, BPF Lelieveldt, L Van Der Maaten, T Höllt, E Eisemann, ... IEEE transactions on visualization and computer graphics 23 (7), 1739-1752, 2016	247	2016
Structure Preserving Object Tracking L Zhang, L van der Maaten IEEE Conference on Computer Vision and Pattern Recognition, 2013	236	2013

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