Hugo Larochelle
55 papers · 2005–2025 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 42% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Hugo Larochelle?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Yoshua Bengio, William Fedus, Anirudh Goyal
23 papers
· 2005–2025
· ICLR, NeurIPS, ICML
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Selective Unlearning via Representation Erasure Using Domain Adversarial Training
ICLR 2025
Many-Shot In-Context Learning
NeurIPS 2024
SatBird: a Dataset for Bird Species Distribution Modeling using Remote Sensing and Citizen Science Data
NeurIPS 2023
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
ICML 2022
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles
AAAI 2021
Impact of Aliasing on Generalization in Deep Convolutional Networks
ICCV 2021
Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program)
JMLR 2021
Learning a Universal Template for Few-shot Dataset Generalization
ICML 2021
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction
AAAI 2020
Curriculum By Smoothing
NeurIPS 2020
Language GANs Falling Short
ICLR 2020
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
ICLR 2020
Revisiting Fundamentals of Experience Replay
ICML 2020
Small-GAN: Speeding up GAN Training using Core-Sets
ICML 2020
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling
NeurIPS 2020
InfoBot: Transfer and Exploration via the Information Bottleneck
ICLR 2019
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
ICLR 2019
Meta-Learning for Semi-Supervised Few-Shot Classification
ICLR 2018
Learning Algorithms for the Classification Restricted Boltzmann Machine
JMLR 2012
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
JMLR 2010
Exploring Strategies for Training Deep Neural Networks
JMLR 2009
Greedy Layer-Wise Training of Deep Networks
NeurIPS 2006
Deep Learning using Robust Interdependent Codes
AISTATS 2005
7 papers whose co-authors appear nowhere else under this name
Matching Feature Sets for Few-Shot Image Classification
CVPR 2022
A Universal Representation Transformer Layer for Few-Shot Image Classification
ICLR 2021
A Meta-Learning Perspective on Cold-Start Recommendations for Items
NeurIPS 2017
Autoencoding beyond pixels using a learned similarity metric
ICML 2016
Using a Recursive Neural Network to Learn an Agent's Decision Model for Plan Recognition
IJCAI 2015
Efficient Learning of Deep Boltzmann Machines
AISTATS 2010
Learning to combine foveal glimpses with a third-order Boltzmann machine
NeurIPS 2010