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 Daniel Tarlow, David Bieber, Disha Shrivastava
5 papers
· 2020–2023
· NeurIPS, ICML, ICLR
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Repository-Level Prompt Generation for Large Language Models of Code
ICML 2023
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
ICLR 2023
Learning to Combine Per-Example Solutions for Neural Program Synthesis
NeurIPS 2021
Learning Graph Structure With A Finite-State Automaton Layer
NeurIPS 2020
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
NeurIPS 2020
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