Isabelle Guyon

Gleason (United States) — United States

Computer Science · Physical Sciences

57h-index36.8kcitations281works1.52yr avg
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Research Topics

Machine Learning and Data Classification(50), Handwritten Text Recognition Techniques(32), Neural Networks and Applications(30), Hand Gesture Recognition Systems(30), Human Pose and Action Recognition(28)

Publications281 total

Stylized Meta-Album: Group-bias injection with style transfer to study robustness against distribution shifts
arXiv (Cornell University)·2025Open Access
Fair Universe Higgs Uncertainty Challenge
ArXiv.org·2025Open Access
EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
arXiv (Cornell University)·2025Open Access
FAIR Universe 2024: Higgs ML Uncertainty Challenge
EPJ Web of Conferences·2025Open Access
Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment
arXiv (Cornell University)·2024· 3 citedOpen Access
Meta-Learning from Learning Curves for Budget-Limited Algorithm Selection
arXiv (Cornell University)·2024Open Access
FAIR Universe HiggsML Uncertainty Dataset and Competition
arXiv (Cornell University)·2024Open Access
Meta-learning from learning curves for budget-limited algorithm selection
Pattern Recognition Letters·2024· 1 citedOpen Access
Unified Physical-Digital Attack Detection Challenge
2024· 8 cited
Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition
arXiv (Cornell University)·2024· 1 citedOpen Access
AI Competitions and Benchmarks: Dataset Development
arXiv (Cornell University)·2024· 1 citedOpen Access
Unified Physical-Digital Attack Detection Challenge
arXiv (Cornell University)·2024Open Access
A Historical Handwritten Dataset for Ethiopic OCR with Baseline Models and Human-Level Performance
Lecture notes in computer science·2024· 6 cited
HHD-Ethiopic A Historical Handwritten Dataset for Ethiopic OCR with Baseline Models and Human-level Performance
SPIRE - Sciences Po Institutional REpository·2023Open Access
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization
2023· 7 cited
Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?
arXiv (Cornell University)·2023Open Access
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network
2023· 4 citedOpen Access
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
arXiv (Cornell University)·2023· 4 citedOpen Access
The Tracking Machine Learning Challenge: Throughput Phase
Computing and Software for Big Science·2023· 24 citedOpen Access
Modularity in Deep Learning: A Survey
Lecture notes in networks and systems·2023· 6 citedOpen Access
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Frequent Co-authors

Hugo Jair Escalante(15), Sérgio Escalera(14), Xavier Baró(10), Vladimir Vapnik(9), J. S. Denker(6), Bernhard E. Boser(5), Léon Bottou(5), L. D. Jackel(5), Yann LeCun(4), Eduard Säckinger(4), D. Henderson(4), W. Hubbard(4), Jun Wan(4), Víctor Ponce-López(4), Corinna Cortes(3), Harris Drucker(3), Urs Müller(3), Y. Le Cun(3), Hans Peter Graf(3), Albert Clapés(3)