Hugo Larochelle

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2007–2025

Best venue rank

Where they publish

Papers

49 indexed papers, newest first.

Year	Venue	Title	Authors
2025	ICLR	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
2025	ICLR	Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL.	Ghada Sokar, Johan S. Obando-Ceron, Aaron C. Courville, Hugo Larochelle, Pablo Samuel Castro
2024	WACV	Consolidating Separate Degradations Model via Weights Fusion and Distillation.	Dinesh Daultani, Hugo Larochelle
2023	ICLR	Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions.	David Bieber, Rishab Goel, Daniel Zheng, Hugo Larochelle, Daniel Tarlow
2023	ICML	Repository-Level Prompt Generation for Large Language Models of Code.	Disha Shrivastava, Hugo Larochelle, Daniel Tarlow
2022	CVPR	Matching Feature Sets for Few-Shot Image Classification.	Arman Afrasiyabi, Hugo Larochelle, Jean-Franois Lalonde, Christian Gagn
2022	CVPR	Uniform Priors for Data-Efficient Learning.	Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg
2022	ICLR	Fortuitous Forgetting in Connectionist Networks.	Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron C. Courville
2022	ICML	Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning.	Utku Evci, Vincent Dumoulin, Hugo Larochelle, Michael C. Mozer
2021	AAAI	DIBS: Diversity Inducing Information Bottleneck in Model Ensembles.	Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti
2021	ICCV	Impact of Aliasing on Generalization in Deep Convolutional Networks.	Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin
2021	ICLR	A Universal Representation Transformer Layer for Few-Shot Image Classification.	Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle
2021	ICML	Learning a Universal Template for Few-shot Dataset Generalization.	Eleni Triantafillou, Hugo Larochelle, Richard S. Zemel, Vincent Dumoulin
2020	AAAI	Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction.	Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup, Marc G. Bellemare
2020	ICLR	Language GANs Falling Short.	Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin
2020	ICLR	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
2020	ICML	Revisiting Fundamentals of Experience Replay.	William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney
2020	ICML	Small-GAN: Speeding up GAN Training using Core-Sets.	Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena
2019	ICLR	A RAD approach to deep mixture models.	Laurent Dinh, Jascha Sohl-Dickstein, Razvan Pascanu, Hugo Larochelle
2019	ICLR	Recall Traces: Backtracking Models for Efficient Reinforcement Learning.	Anirudh Goyal, Philemon Brakel, William Fedus, Soumye Singhal, Timothy P. Lillicrap, Sergey Levine, Hugo Larochelle, Yoshua Bengio
2019	ICLR	InfoBot: Transfer and Exploration via the Information Bottleneck.	Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew M. Botvinick, Yoshua Bengio, Sergey Levine
2018	ICLR	HoME: a Household Multimodal Environment.	Simon Brodeur, Ethan Perez, Ankesh Anand, Florian Golemo, Luca Celotti, Florian Strub, Jean Rouat, Hugo Larochelle, Aaron C. Courville
2018	ICLR	Meta-Learning for Batch Mode Active Learning.	Sachin Ravi, Hugo Larochelle
2018	ICLR	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
2017	CVPR	GuessWhat?! Visual Object Discovery through Multi-modal Dialogue.	Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron C. Courville
2017	ICLR	Recurrent Mixture Density Network for Spatiotemporal Visual Attention.	Loris Bazzani, Hugo Larochelle, Lorenzo Torresani
2017	ICLR	Optimization as a Model for Few-Shot Learning.	Sachin Ravi, Hugo Larochelle
2017	MICCAI	Learn to Track: Deep Learning for Tractography.	Philippe Poulin, Marc-Alexandre Ct, Jean-Christophe Houde, Laurent Petit, Peter F. Neher, Klaus H. Maier-Hein, Hugo Larochelle, Maxime Descoteaux
2016	ICML	Dynamic Capacity Networks.	Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron C. Courville
2016	ICML	Autoencoding beyond pixels using a learned similarity metric.	Anders Boesen Lindbo Larsen, Sren Kaae Snderby, Hugo Larochelle, Ole Winther
2015	ICCV	Describing Videos by Exploiting Temporal Structure.	Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville
2015	ICML	MADE: Masked Autoencoder for Distribution Estimation.	Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle
2015	IJCAI	Using a Recursive Neural Network to Learn an Agent's Decision Model for Plan Recognition.	Francis Bisson, Hugo Larochelle, Froduald Kabanza
2015	MICCAI	A Convolutional Neural Network Approach to Brain Tumor Segmentation.	Mohammad Havaei, Francis Dutil, Chris Pal, Hugo Larochelle, Pierre-Marc Jodoin
2014	CVPR	Topic Modeling of Multimodal Data: An Autoregressive Approach.	Yin Zheng, Yu-Jin Zhang, Hugo Larochelle
2014	ICML	Agnostic Bayesian Learning of Ensembles.	Alexandre Lacoste, Mario Marchand, Franois Laviolette, Hugo Larochelle
2014	ICML	A Deep and Tractable Density Estimator.	Benigno Uria, Iain Murray, Hugo Larochelle
2014	ICPR	Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification.	Mohammad Havaei, Pierre-Marc Jodoin, Hugo Larochelle
2014	KDD	Leveraging user libraries to bootstrap collaborative filtering.	Laurent Charlin, Richard S. Zemel, Hugo Larochelle
2014	UAI	Sequential Model-Based Ensemble Optimization.	Alexandre Lacoste, Hugo Larochelle, Mario Marchand, Franois Laviolette
2012	CIKM	Learning to rank by aggregating expert preferences.	Maksims Volkovs, Hugo Larochelle, Richard S. Zemel
2012	ICML	Training Restricted Boltzmann Machines on Word Observations.	George E. Dahl, Ryan Prescott Adams, Hugo Larochelle
2011	ICML	Learning attentional policies for tracking and recognition in video with deep networks.	Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino, Jo-Anne Ting
2011	UAI	Classification of Sets using Restricted Boltzmann Machines.	Jrme Louradour, Hugo Larochelle
2011	UAI	Conditional Restricted Boltzmann Machines for Structured Output Prediction.	Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton
2008	AAAI	Zero-data Learning of New Tasks.	Hugo Larochelle, Dumitru Erhan, Yoshua Bengio
2008	ICML	Classification using discriminative restricted Boltzmann machines.	Hugo Larochelle, Yoshua Bengio
2008	ICML	Extracting and composing robust features with denoising autoencoders.	Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pierre-Antoine Manzagol
2007	ICML	An empirical evaluation of deep architectures on problems with many factors of variation.	Hugo Larochelle, Dumitru Erhan, Aaron C. Courville, James Bergstra, Yoshua Bengio