Larochelle, Hugo

80 publications

NeurIPS 2025 Bringing SAM to New Heights: Leveraging Elevation Data for Tree Crown Segmentation from Drone Imagery Mélisande Teng, Arthur Ouaknine, Etienne Laliberté, Yoshua Bengio, David Rolnick, Hugo Larochelle

NeurIPS 2025 Capturing Individual Human Preferences with Reward Features Andre Barreto, Vincent Dumoulin, Yiran Mao, Mark Rowland, Nicolas Perez-Nieves, Bobak Shahriari, Yann Dauphin, Doina Precup, Hugo Larochelle

ICLR 2025 Don't Flatten, Tokenize! Unlocking the Key to SoftMoE's Efficacy in Deep RL Ghada Sokar, Johan Samir Obando Ceron, Aaron Courville, Hugo Larochelle, Pablo Samuel Castro

TMLR 2025 Low Compute Unlearning via Sparse Representations Vedant Shah, Frederik Träuble, Ashish Malik, Hugo Larochelle, Michael Curtis Mozer, Sanjeev Arora, Yoshua Bengio, Anirudh Goyal

ICLR 2025 Selective Unlearning via Representation Erasure Using Domain Adversarial Training Nazanin Mohammadi Sepahvand, Eleni Triantafillou, Hugo Larochelle, Doina Precup, James J. Clark, Daniel M. Roy, Gintare Karolina Dziugaite

TMLR 2024 A Density Estimation Perspective on Learning from Pairwise Human Preferences Vincent Dumoulin, Daniel D. Johnson, Pablo Samuel Castro, Hugo Larochelle, Yann Dauphin

NeurIPS 2024 Many-Shot In-Context Learning Rishabh Agarwal, Avi Singh, Lei Zhang, Bernd Bohnet, Luis Rosias, Stephanie Chan, Biao Zhang, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle

ICMLW 2024 Many-Shot In-Context Learning Rishabh Agarwal, Avi Singh, Lei M Zhang, Bernd Bohnet, Luis Rosias, Stephanie C.Y. Chan, Biao Zhang, Aleksandra Faust, Hugo Larochelle

ICMLW 2024 Many-Shot In-Context Learning Rishabh Agarwal, Avi Singh, Lei M Zhang, Bernd Bohnet, Luis Rosias, Stephanie C.Y. Chan, Biao Zhang, Ankesh Anand, Zaheer Abbas, Azade Nova, John D Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle

TMLR 2023 Neural Causal Structure Discovery from Interventions Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Bernhard Schölkopf, Michael Curtis Mozer, Christopher Pal, Yoshua Bengio

ICML 2023 Repository-Level Prompt Generation for Large Language Models of Code Disha Shrivastava, Hugo Larochelle, Daniel Tarlow

NeurIPS 2023 SatBird: A Dataset for Bird Species Distribution Modeling Using Remote Sensing and Citizen Science Data Mélisande Teng, Amna Elmustafa, Benjamin Akera, Yoshua Bengio, Hager Radi, Hugo Larochelle, David Rolnick

ICLR 2023 Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions David Bieber, Rishab Goel, Dan Zheng, Hugo Larochelle, Daniel Tarlow

ICLR 2022 Fortuitous Forgetting in Connectionist Networks Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron Courville

ICML 2022 Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning Utku Evci, Vincent Dumoulin, Hugo Larochelle, Michael C Mozer

CVPR 2022 Matching Feature Sets for Few-Shot Image Classification Arman Afrasiyabi, Hugo Larochelle, Jean-François Lalonde, Christian Gagné

ICMLW 2022 Repository-Level Prompt Generation for Large Language Models of Code Disha Shrivastava, Hugo Larochelle, Daniel Tarlow

ICLRW 2022 Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions David Bieber, Rishab Goel, Dan Zheng, Hugo Larochelle, Daniel Tarlow

CVPRW 2022 Uniform Priors for Data-Efficient Learning Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg

ICLR 2021 A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle

AAAI 2021 DIBS: Diversity Inducing Information Bottleneck in Model Ensembles Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti

ICCV 2021 Impact of Aliasing on Generalization in Deep Convolutional Networks Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin

JMLR 2021 Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program) Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Lariviere, Alina Beygelzimer, Florence d'Alche-Buc, Emily Fox, Hugo Larochelle

ICML 2021 Learning a Universal Template for Few-Shot Dataset Generalization Eleni Triantafillou, Hugo Larochelle, Richard Zemel, Vincent Dumoulin

NeurIPS 2021 Learning to Combine Per-Example Solutions for Neural Program Synthesis Disha Shrivastava, Hugo Larochelle, Daniel Tarlow

AAAI 2020 Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup, Marc G. Bellemare

NeurIPS 2020 Curriculum by Smoothing Samarth Sinha, Animesh Garg, Hugo Larochelle

ICLR 2020 Hyperbolic Discounting and Learning over Multiple Horizons William Fedus, Carles Gelada, Yoshua Bengio, Marc G. Bellemare, Hugo Larochelle

ICLR 2020 Language GANs Falling Short Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin

NeurIPS 2020 Learning Graph Structure with a Finite-State Automaton Layer Daniel Johnson, Hugo Larochelle, Daniel Tarlow

NeurIPS 2020 Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks David Bieber, Charles A. Sutton, Hugo Larochelle, Daniel Tarlow

ICLR 2020 Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle

NeurIPSW 2020 On-the-Fly Adaptation of Source Code Models Disha Shrivastava, Hugo Larochelle, Daniel Tarlow

ICML 2020 Revisiting Fundamentals of Experience Replay William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney

ICML 2020 Small-GAN: Speeding up GAN Training Using Core-Sets Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena

NeurIPS 2020 Your GAN Is Secretly an Energy-Based Model and You Should Use Discriminator Driven Latent Sampling Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio

ICLRW 2019 A RAD Approach to Deep Mixture Models Laurent Dinh, Jascha Sohl-Dickstein, Razvan Pascanu, Hugo Larochelle

ICLR 2019 InfoBot: Transfer and Exploration via the Information Bottleneck Anirudh Goyal, Riashat Islam, Dj Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew Botvinick, Yoshua Bengio, Sergey Levine

ICLR 2019 Recall Traces: Backtracking Models for Efficient Reinforcement Learning Anirudh Goyal, Philemon Brakel, William Fedus, Soumye Singhal, Timothy Lillicrap, Sergey Levine, Hugo Larochelle, Yoshua Bengio

ICLR 2018 Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel

NeurIPS 2017 A Meta-Learning Perspective on Cold-Start Recommendations for Items Manasi Vartak, Arvind Thiagarajan, Conrado Miranda, Jeshua Bratman, Hugo Larochelle

JMLR 2017 Document Neural Autoregressive Distribution Estimation Stanislas Lauly, Yin Zheng, Alexandre Allauzen, Hugo Larochelle

CVPR 2017 GuessWhat?! Visual Object Discovery Through Multi-Modal Dialogue Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron Courville

NeurIPS 2017 Modulating Early Visual Processing by Language Harm de Vries, Florian Strub, Jeremie Mary, Hugo Larochelle, Olivier Pietquin, Aaron C. Courville

ICLR 2017 Optimization as a Model for Few-Shot Learning Sachin Ravi, Hugo Larochelle

ICLR 2017 Recurrent Mixture Density Network for Spatiotemporal Visual Attention Loris Bazzani, Hugo Larochelle, Lorenzo Torresani

ICML 2016 Autoencoding Beyond Pixels Using a Learned Similarity Metric Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, Hugo Larochelle, Ole Winther

JMLR 2016 Domain-Adversarial Training of Neural Networks Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario March, Victor Lempitsky

ICML 2016 Dynamic Capacity Networks Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron Courville

JMLR 2016 Neural Autoregressive Distribution Estimation Benigno Uria, Marc-Alexandre Côté, Karol Gregor, Iain Murray, Hugo Larochelle

ICCV 2015 Describing Videos by Exploiting Temporal Structure Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher Pal, Hugo Larochelle, Aaron Courville

ICML 2015 MADE: Masked Autoencoder for Distribution Estimation Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle

IJCAI 2015 Using a Recursive Neural Network to Learn an Agent's Decision Model for Plan Recognition Francis Bisson, Hugo Larochelle, Froduald Kabanza

ICML 2014 A Deep and Tractable Density Estimator Benigno Uria, Iain Murray, Hugo Larochelle

ICML 2014 Agnostic Bayesian Learning of Ensembles Alexandre Lacoste, Mario Marchand, François Laviolette, Hugo Larochelle

NeurIPS 2014 An Autoencoder Approach to Learning Bilingual Word Representations A P Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha

UAI 2014 Sequential Model-Based Ensemble Optimization Alexandre Lacoste, Hugo Larochelle, Mario Marchand, François Laviolette

CVPR 2014 Topic Modeling of Multimodal Data: An Autoregressive Approach Yin Zheng, Yu-Jin Zhang, Hugo Larochelle

NeurIPS 2013 RNADE: The Real-Valued Neural Autoregressive Density-Estimator Benigno Uria, Iain Murray, Hugo Larochelle

NeurIPS 2012 A Neural Autoregressive Topic Model Hugo Larochelle, Stanislas Lauly

JMLR 2012 Learning Algorithms for the Classification Restricted Boltzmann Machine Hugo Larochelle, Michael Mandel, Razvan Pascanu, Yoshua Bengio

JMLR 2012 Nonparametric Guidance of Autoencoder Representations Using Label Information Jasper Snoek, Ryan P. Adams, Hugo Larochelle

AISTATS 2012 On Nonparametric Guidance for Learning Autoencoder Representations Jasper Snoek, Ryan Adams, Hugo Larochelle

NeurIPS 2012 Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek, Hugo Larochelle, Ryan P. Adams

ICML 2012 Training Restricted Boltzmann Machines on Word Observations George E. Dahl, Ryan Prescott Adams, Hugo Larochelle

UAI 2011 Classification of Sets Using Restricted Boltzmann Machines Jérôme Louradour, Hugo Larochelle

UAI 2011 Conditional Restricted Boltzmann Machines for Structured Output Prediction Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton

ICML 2011 Learning Attentional Policies for Tracking and Recognition in Video with Deep Networks Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino, Jo-Anne Ting

AISTATS 2011 The Neural Autoregressive Distribution Estimator Hugo Larochelle, Iain Murray

AISTATS 2010 Efficient Learning of Deep Boltzmann Machines Ruslan Salakhutdinov, Hugo Larochelle

NeurIPS 2010 Learning to Combine Foveal Glimpses with a Third-Order Boltzmann Machine Hugo Larochelle, Geoffrey E. Hinton

JMLR 2010 Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, Pierre-Antoine Manzagol

AISTATS 2009 Deep Learning Using Robust Interdependent Codes Hugo Larochelle, Dumitru Erhan, Pascal Vincent

JMLR 2009 Exploring Strategies for Training Deep Neural Networks Hugo Larochelle, Yoshua Bengio, Jérôme Louradour, Pascal Lamblin

ICML 2008 Classification Using Discriminative Restricted Boltzmann Machines Hugo Larochelle, Yoshua Bengio

ICML 2008 Extracting and Composing Robust Features with Denoising Autoencoders Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pierre-Antoine Manzagol

AAAI 2008 Zero-Data Learning of New Tasks Hugo Larochelle, Dumitru Erhan, Yoshua Bengio

ICML 2007 An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation Hugo Larochelle, Dumitru Erhan, Aaron C. Courville, James Bergstra, Yoshua Bengio

NeurIPS 2006 Greedy Layer-Wise Training of Deep Networks Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle

NeurIPS 2005 Non-Local Manifold Parzen Windows Yoshua Bengio, Hugo Larochelle, Pascal Vincent