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Learning to Combine Per-Example Solutions for Neural Program Synthesis

Jun 14, 2021
Disha Shrivastava, Hugo Larochelle, Daniel Tarlow

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Learning a Universal Template for Few-shot Dataset Generalization

May 14, 2021
Eleni Triantafillou, Hugo Larochelle, Richard Zemel, Vincent Dumoulin

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Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark

Apr 06, 2021
Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle

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Interpretable Multi-Modal Hate Speech Detection

Mar 02, 2021
Prashanth Vijayaraghavan, Hugo Larochelle, Deb Roy

* ICML Workshop on AI for Social Good, 2019 
* 5 pages, Accepted at the International Conference on Machine Learning AI for Social Good Workshop, Long Beach, United States, 2019 

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Self-Supervised Equivariant Scene Synthesis from Video

Feb 01, 2021
Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna, Kyunghyun Cho

* arXiv admin note: text overlap with arXiv:2011.05787 

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An Effective Anti-Aliasing Approach for Residual Networks

Nov 20, 2020
Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Nicolas Le Roux, Ross Goroshin

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Learned Equivariant Rendering without Transformation Supervision

Nov 11, 2020
Cinjon Resnick, Or Litany, Hugo Larochelle, Joan Bruna, Kyunghyun Cho

* Workshop on Differentiable Vision, Graphics, and Physics in Machine Learning at NeurIPS 2020 

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Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks

Oct 23, 2020
David Bieber, Charles Sutton, Hugo Larochelle, Daniel Tarlow

* Accepted at NeurIPS 2020 

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Revisiting Fundamentals of Experience Replay

Jul 13, 2020
William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney

* Published at ICML 2020. First two authors contributed equally and code available at 

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Learning Graph Structure With A Finite-State Automaton Layer

Jul 09, 2020
Daniel D. Johnson, Hugo Larochelle, Daniel Tarlow

* Submitted to NeurIPS 2020 

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A Universal Representation Transformer Layer for Few-Shot Image Classification

Jun 25, 2020
Lu Liu, William Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle

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Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

Apr 02, 2020
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily Fox, Hugo Larochelle

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On-the-Fly Adaptation of Source Code Models using Meta-Learning

Mar 26, 2020
Disha Shrivastava, Hugo Larochelle, Daniel Tarlow

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Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling

Mar 24, 2020
Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio

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DIBS: Diversity inducing Information Bottleneck in Model Ensembles

Mar 10, 2020
Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti

* Samarth Sinha* and Homanga Bharadhwaj* contributed equally to this work. Code will be released at 

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Curriculum By Texture

Mar 03, 2020
Samarth Sinha, Animesh Garg, Hugo Larochelle

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On Catastrophic Interference in Atari 2600 Games

Feb 28, 2020
William Fedus, Dibya Ghosh, John D. Martin, Marc G. Bellemare, Yoshua Bengio, Hugo Larochelle

* First two authors contributed equally. Code available to reproduce experiments at 

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Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction

Nov 28, 2019
Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup, Marc G. Bellemare

* To appear in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). Accepted for Oral presentation 

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Small-GAN: Speeding Up GAN Training Using Core-sets

Oct 29, 2019
Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena

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Learning Neural Causal Models from Unknown Interventions

Oct 02, 2019
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Chris Pal, Yoshua Bengio

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InfoBot: Transfer and Exploration via the Information Bottleneck

Apr 04, 2019
Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Matthew Botvinick, Hugo Larochelle, Yoshua Bengio, Sergey Levine

* Accepted at ICLR'19 

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A RAD approach to deep mixture models

Mar 18, 2019
Laurent Dinh, Jascha Sohl-Dickstein, Razvan Pascanu, Hugo Larochelle

* 9 pages of main content, 4 pages of appendices 

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Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Mar 07, 2019
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle

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Hyperbolic Discounting and Learning over Multiple Horizons

Feb 28, 2019
William Fedus, Carles Gelada, Yoshua Bengio, Marc G. Bellemare, Hugo Larochelle

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Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification

Feb 22, 2019
Gabriel Huang, Hugo Larochelle, Simon Lacoste-Julien

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