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Laurens van der Maaten
Laurens van der Maaten
Research Director, Meta AI (FAIR)
Verifierad e-postadress på fb.com - Startsida
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Visualizing data using t-SNE
L van der Maaten, G Hinton
The Journal of Machine Learning Research 9 (2579-2605), 85, 2008
328102008
Densely Connected Convolutional Networks
G Huang, Z Liu, L van der Maaten, KQ Weinberger
IEEE Conference on Computer Vision and Pattern Recognition, 2016
317572016
Dimensionality reduction: A comparative review
LJP Van der Maaten, EO Postma, HJ Van den Herik
Technical Report TiCC TR 2009-005, 2009
3224*2009
Accelerating t-SNE using Tree-Based Algorithms
L Van Der Maaten
The Journal of Machine Learning Research 15 (1), 3221-3245, 2014
24102014
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
16412017
Countering adversarial images using input transformations
C Guo, M Rana, M Cisse, L Van Der Maaten
arXiv preprint arXiv:1711.00117, 2017
11222017
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
11142018
Self-supervised learning of pretext-invariant representations
I Misra, L Maaten
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
9592020
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
9252018
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
7242018
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
7012019
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
661*2017
Learning a parametric embedding by preserving local structure
L van der Maaten
Proceedings of AI-STATS, 2009
5992009
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
5062017
Rtsne: T-distributed stochastic neighbor embedding using Barnes-Hut implementation
JH Krijthe
R package version 0.13, URL https://github. com/jkrijthe/Rtsne, 2015
3832015
Visualizing data using t-SNE
G Hinton, L van der Maaten
J. Mach. Learn. Res. 9 (Nov), 2579-2605, 2008
3612008
Learning Visual Features from Large Weakly Supervised Data
A Joulin, L van der Maaten, A Jabri, N Vasilache
European Conference on Computer Vision, 2016
3242016
Submanifold sparse convolutional networks
B Graham, L Van der Maaten
arXiv preprint arXiv:1706.01307, 2017
3172017
Revisiting visual question answering baselines
A Jabri, A Joulin, L Van Der Maaten
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
2862016
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
2742016
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