Articles with public access mandates - Hugo LarochelleLearn more
Not available anywhere: 1
Traffic analytics with low-frame-rate videos
Z Luo, PM Jodoin, SZ Su, SZ Li, H Larochelle
IEEE Transactions on Circuits and Systems for Video Technology 28 (4), 878-891, 2016
Mandates: National Natural Science Foundation of China
Available somewhere: 21
Domain-adversarial training of neural networks
Y Ganin, E Ustinova, H Ajakan, P Germain, H Larochelle, F Laviolette, ...
Journal of machine learning research 17 (59), 1-35, 2016
Mandates: Natural Sciences and Engineering Research Council of Canada
Deep learning with coherent nanophotonic circuits
Y Shen, NC Harris, S Skirlo, M Prabhu, T Baehr-Jones, M Hochberg, ...
Nature photonics 11 (7), 441-446, 2017
Mandates: US National Science Foundation, US Department of Defense
Describing videos by exploiting temporal structure
L Yao, A Torabi, K Cho, N Ballas, C Pal, H Larochelle, A Courville
Proceedings of the IEEE international conference on computer vision, 4507-4515, 2015
Mandates: Natural Sciences and Engineering Research Council of Canada
Machine behaviour
I Rahwan, M Cebrian, N Obradovich, J Bongard, JF Bonnefon, C Breazeal, ...
Nature 568 (7753), 477-486, 2019
Mandates: US National Science Foundation, US Department of Defense, US Office of the …
Made: Masked autoencoder for distribution estimation
M Germain, K Gregor, I Murray, H Larochelle
International conference on machine learning, 881-889, 2015
Mandates: Natural Sciences and Engineering Research Council of Canada
Modulating early visual processing by language
H De Vries, F Strub, J Mary, H Larochelle, O Pietquin, AC Courville
Advances in neural information processing systems 30, 2017
Mandates: Natural Sciences and Engineering Research Council of Canada
ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
O Maier, BH Menze, J Von der Gablentz, L Häni, MP Heinrich, M Liebrand, ...
Medical image analysis 35, 250-269, 2017
Mandates: US National Institutes of Health, Research Foundation (Flanders), Natural …
Guesswhat?! visual object discovery through multi-modal dialogue
H De Vries, F Strub, S Chandar, O Pietquin, H Larochelle, A Courville
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Mandates: Natural Sciences and Engineering Research Council of Canada
Improving reproducibility in machine learning research (a report from the neurips 2019 reproducibility program)
J Pineau, P Vincent-Lamarre, K Sinha, V Larivière, A Beygelzimer, ...
Journal of machine learning research 22 (164), 1-20, 2021
Mandates: Natural Sciences and Engineering Research Council of Canada
Infobot: Transfer and exploration via the information bottleneck
A Goyal, R Islam, DJ Strouse, Z Ahmed, H Larochelle, M Botvinick, ...
International Conference on Learning Representations, 2018
Mandates: Natural Sciences and Engineering Research Council of Canada
Matching feature sets for few-shot image classification
A Afrasiyabi, H Larochelle, JF Lalonde, C Gagné
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Mandates: Natural Sciences and Engineering Research Council of Canada
A deep and autoregressive approach for topic modeling of multimodal data
Y Zheng, YJ Zhang, H Larochelle
IEEE transactions on pattern analysis and machine intelligence 38 (6), 1056-1069, 2015
Mandates: Natural Sciences and Engineering Research Council of Canada, National …
An infinite restricted Boltzmann machine
MA Côté, H Larochelle
Neural computation 28 (7), 1265-1288, 2016
Mandates: Natural Sciences and Engineering Research Council of Canada
Using a recursive neural network to learn an agent's decision model for plan recognition
F Bisson, H Larochelle, F Kabanza
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Mandates: Natural Sciences and Engineering Research Council of Canada
A neural autoregressive approach to attention-based recognition
Y Zheng, RS Zemel, YJ Zhang, H Larochelle
International Journal of Computer Vision 113, 67-79, 2015
Mandates: Natural Sciences and Engineering Research Council of Canada, National …
Acquiring and predicting multidimensional diffusion (MUDI) data: an open challenge
M Pizzolato, M Palombo, E Bonet-Carne, CMW Tax, F Grussu, A Ianus, ...
Computational Diffusion MRI: MICCAI Workshop, Shenzhen, China, October 2019 …, 2020
Mandates: US National Institutes of Health, Netherlands Organisation for Scientific …
Centroid networks for few-shot clustering and unsupervised few-shot classification
G Huang, H Larochelle, S Lacoste-Julien
arXiv preprint arXiv:1902.08605 3 (7), 2019
Mandates: Natural Sciences and Engineering Research Council of Canada
Learning to combine per-example solutions for neural program synthesis
D Shrivastava, H Larochelle, D Tarlow
Advances in Neural Information Processing Systems 34, 6102-6114, 2021
Mandates: Natural Sciences and Engineering Research Council of Canada
Neural causal structure discovery from interventions
NR Ke, O Bilaniuk, A Goyal, S Bauer, H Larochelle, B Schölkopf, ...
Transactions on Machine Learning Research, 2023
Mandates: Natural Sciences and Engineering Research Council of Canada
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