H. Larochelle

Most-cited papers

Domain-Adversarial Training of Neural Networks
Y. Ganin, E. Ustinova, Hana Ajakan, Pascal Germain +4 more
2015Journal of machine learning research12K citations
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Optimization as a Model for Few-Shot Learning
S. Ravi, H. Larochelle
2016International Conference on Learning Representations3,751 citations
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Brain tumor segmentation with Deep Neural Networks
Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard +5 more
2015Medical Image Anal.3,196 citations Open access
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Deep learning with coherent nanophotonic circuits
Yichen Shen, N. Harris, S. Skirlo, M. Prabhu +7 more
2016Nature Photonics3,127 citations Open access
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Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, H. Larochelle, O. Winther
2015International Conference on Machine Learning2,287 citations
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Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren, Eleni Triantafillou, S. Ravi, Jake Snell +4 more
2018International Conference on Learning Representations1,467 citations
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Machine behaviour
I. Rahwan, Manuel Cebrian, Nick Obradovich, J. Bongard +19 more
2019Nature1,354 citations Open access
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Describing Videos by Exploiting Temporal Structure
L. Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas +3 more
2015IEEE International Conference on Computer Vision1,113 citations
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MADE: Masked Autoencoder for Distribution Estimation
M. Germain, K. Gregor, Iain Murray, H. Larochelle
2015International Conference on Machine Learning1,001 citations
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Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, V. Larivière +4 more
2020Journal of machine learning research804 citations
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Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou, Tyler Lixuan Zhu, V. Dumoulin, P. Lamblin +7 more
2019International Conference on Learning Representations714 citations
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Modulating early visual processing by language
Harm de Vries, Florian Strub, Jérémie Mary, H. Larochelle +2 more
2017Neural Information Processing Systems564 citations
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The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard, Jakob N. Foerster, A. P. Sarath Chandar, Neil Burch +11 more
2019Artificial Intelligence456 citations Open access
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GuessWhat?! Visual Object Discovery through Multi-modal Dialogue
Harm de Vries, Florian Strub, S. Chandar, O. Pietquin +2 more
2016Computer Vision and Pattern Recognition455 citations Open access
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Movie Description
Anna Rohrbach, Atousa Torabi, Marcus Rohrbach, Niket Tandon +4 more
2016International Journal of Computer Vision444 citations Open access
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Neural Autoregressive Distribution Estimation
Benigno Uria, Marc-Alexandre Côté, K. Gregor, Iain Murray +1 more
2016Journal of machine learning research364 citations
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An Autoencoder Approach to Learning Bilingual Word Representations
A. P. Sarath Chandar, Stanislas Lauly, H. Larochelle, Mitesh M. Khapra +3 more
2014Neural Information Processing Systems349 citations
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Revisiting Fundamentals of Experience Replay
W. Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio +3 more
2020International Conference on Machine Learning345 citations
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Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
D. Krueger, Tegan Maharaj, J'anos Kram'ar, M. Pezeshki +7 more
2016International Conference on Learning Representations335 citations
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Language GANs Falling Short
Massimo Caccia, Lucas Caccia, W. Fedus, H. Larochelle +2 more
2018International Conference on Learning Representations245 citations
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A Meta-Learning Perspective on Cold-Start Recommendations for Items
Manasi Vartak, Arvind Thiagarajan, C. Miranda, Jeshua Bratman +1 more
2017Neural Information Processing Systems236 citations
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Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research
Atousa Torabi, C. Pal, H. Larochelle, Aaron C. Courville
2015arXiv.org219 citations
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Repository-Level Prompt Generation for Large Language Models of Code
Disha Shrivastava, H. Larochelle, Daniel Tarlow
2022International Conference on Machine Learning201 citations Open access
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Learning Neural Causal Models from Unknown Interventions
N. Ke, O. Bilaniuk, Anirudh Goyal, Stefan Bauer +3 more
2019arXiv.org192 citations
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InfoBot: Transfer and Exploration via the Information Bottleneck
Anirudh Goyal, Riashat Islam, D. Strouse, Zafarali Ahmed +4 more
2019International Conference on Learning Representations192 citations
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Advances in Neural Information Processing Systems 31
S. Bengio, H. Wallach, H. Larochelle, K. Grauman +2 more
2018Neural Information Processing Systems163 citations
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Correlational Neural Networks
S. Chandar, Mitesh M. Khapra, H. Larochelle, Balaraman Ravindran
2015Neural Computation150 citations Open access
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A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu, William Hamilton, Guodong Long, Jing Jiang +1 more
2020International Conference on Learning Representations147 citations
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Recurrent Mixture Density Network for Spatiotemporal Visual Attention
Loris Bazzani, H. Larochelle, L. Torresani
2016International Conference on Learning Representations143 citations
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Proceedings of The 32nd International Conference on Machine Learning
M. Germain, K. Gregor, Iain Murray, H. Larochelle
2015139 citations
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Teaching Algorithmic Reasoning via In-context Learning
Hattie Zhou, Azade Nova, H. Larochelle, Aaron C. Courville +2 more
2022arXiv.org138 citations Open access
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Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
Tong Che, Ruixiang Zhang, Jascha Narain Sohl-Dickstein, H. Larochelle +3 more
2020Neural Information Processing Systems129 citations
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Hyperbolic Discounting and Learning over Multiple Horizons
W. Fedus, Carles Gelada, Yoshua Bengio, Marc G. Bellemare +1 more
2019arXiv.org129 citations
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Learning a Universal Template for Few-shot Dataset Generalization
Eleni Triantafillou, H. Larochelle, R. Zemel, V. Dumoulin
2021International Conference on Machine Learning117 citations
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Matching Feature Sets for Few-Shot Image Classification
Arman Afrasiyabi, H. Larochelle, Jean-François Lalonde, Christian Gagné
2022Computer Vision and Pattern Recognition116 citations Open access
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Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
Utku Evci, V. Dumoulin, H. Larochelle, M. Mozer
2022International Conference on Machine Learning113 citations
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Dynamic Capacity Networks
Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng +2 more
2015International Conference on Machine Learning109 citations
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HoME: a Household Multimodal Environment
Simon Brodeur, Ethan Perez, Ankesh Anand, Florian Golemo +5 more
2017International Conference on Learning Representations107 citations
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Curriculum By Smoothing
Samarth Sinha, Animesh Garg, H. Larochelle
2020Neural Information Processing Systems95 citations
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A Convolutional Neural Network Approach to Brain Tumor Segmentation
Mohammad Havaei, Francis Dutil, C. Pal, H. Larochelle +1 more
2015Brainles@MICCAI95 citations
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Small-GAN: Speeding Up GAN Training Using Core-sets
Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio +2 more
2019International Conference on Machine Learning93 citations
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Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality
A. Allauzen, Edward Grefenstette, K. Hermann, H. Larochelle +1 more
2015Workshop on Continuous Vector Space Models and their Compositionality93 citations Open access
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Deep Learning Trends for Focal Brain Pathology Segmentation in MRI
Mohammad Havaei, N. Guizard, H. Larochelle, Pierre-Marc Jodoin
2016Machine Learning for Health Informatics91 citations Open access
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Hierarchical Memory Networks
A. P. Sarath Chandar, Sungjin Ahn, H. Larochelle, P. Vincent +2 more
2016arXiv.org89 citations
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Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification
Mohammad Havaei, Pierre-Marc Jodoin, H. Larochelle
2014International Conference on Pattern Recognition88 citations
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Within-brain classification for brain tumor segmentation
Mohammad Havaei, H. Larochelle, P. Poulin, Pierre-Marc Jodoin
2015International Journal of Computer Assisted Radiology and Surgery80 citations Open access
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Topic Modeling of Multimodal Data: An Autoregressive Approach
Yin Zheng, Yu-Jin Zhang, H. Larochelle
20142014 IEEE Conference on Computer Vision and Pattern Recognition71 citations
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Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Anirudh Goyal, Philémon Brakel, W. Fedus, Soumye Singhal +4 more
2018International Conference on Learning Representations70 citations
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Disentangling the independently controllable factors of variation by interacting with the world
Valentin Thomas, Emmanuel Bengio, W. Fedus, Jules Pondard +5 more
2018arXiv.org70 citations
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An Infinite Restricted Boltzmann Machine
Marc-Alexandre Côté, H. Larochelle
2015Neural Computation69 citations Open access
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