Hugo Larochelle

Computer Science · Physical Sciences

61h-index61.4kcitations185works2.12yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(45), Generative Adversarial Networks and Image Synthesis(34), Multimodal Machine Learning Applications(31), Topic Modeling(23), Machine Learning and Data Classification(17)

Publications185 total

ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review
arXiv (Cornell University)·2025Open Access
Identifying birdsong syllables without labelled data
arXiv (Cornell University)·2025Open Access
CISO: Species Distribution Modeling Conditioned on Incomplete Species Observations
arXiv (Cornell University)·2025Open Access
Bringing SAM to new heights: Leveraging elevation data for tree crown segmentation from drone imagery
arXiv (Cornell University)·2025Open Access
The Search for Squawk: Agile Modeling in Bioacoustics
arXiv (Cornell University)·2025· 1 citedOpen Access
Capturing Individual Human Preferences with Reward Features
ArXiv.org·2025Open Access
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL
arXiv (Cornell University)·2024Open Access
Many-Shot In-Context Learning
arXiv (Cornell University)·2024· 8 citedOpen Access
Optimisation of quantitative brain diffusion-relaxation MRI acquisition protocols with physics-informed machine learning
Medical Image Analysis·2024· 8 citedOpen Access
Many-Shot In-Context Learning
2024· 4 cited
Consolidating Separate Degradations Model via Weights Fusion and Distillation
2024· 2 cited
Unlearning via Sparse Representations
arXiv (Cornell University)·2023· 1 citedOpen Access
A density estimation perspective on learning from pairwise human preferences
arXiv (Cornell University)·2023· 1 citedOpen Access
SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data
arXiv (Cornell University)·2023· 2 citedOpen Access
Bird Distribution Modelling using Remote Sensing and Citizen Science data
arXiv (Cornell University)·2023Open Access
Teaching Algorithmic Reasoning via In-context Learning
arXiv (Cornell University)·2022· 23 citedOpen Access
Repository-Level Prompt Generation for Large Language Models of Code
arXiv (Cornell University)·2022· 13 citedOpen Access
Uniform Priors for Data-Efficient Learning
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)·2022· 3 cited
Matching Feature Sets for Few-Shot Image Classification
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 119 cited
Machine Behaviour (Originally Published 2019 by Springer Nature)
2022· 11 cited
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Frequent Co-authors

Yoshua Bengio(9), Aaron Courville(8), Iain Murray(7), Atousa Torabi(4), Christopher Pal(4), Pierre-Antoine Manzagol(3), Pascal Lamblin(3), Mohammad Havaei(3), Chris Pal(3), Sachin Ravi(3), Mathieu Germain(3), Karol Gregor(3), Eleni Triantafillou(3), Kevin Swersky(3), Florian Strub(3), Sarath Chandar(3), Olivier Pietquin(3), Stanislas Lauly(3), Mitesh M. Khapra(3), Balaraman Ravindran(3)