Christian Gagné
14 papers · 2012–2025 · 9 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (31)
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Century Club · Bronze
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Unstoppable · Bronze
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Research topics
Machine Learning
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Learning Types · Machine Learning
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Deep Learning
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Artificial Intelligence
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Optimization & Theory
(4)
Architectures
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Core AI
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Learning Types · Deep Learning
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Computer Science
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Mathematics & Optimization
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Foundations
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Keywords
multi-task learning
(2)
bilevel optimization
(2)
metric learning
(2)
domain generalization
(2)
wasserstein distance
(2)
domain adaptation
(2)
few-shot learning
(1)
adversarial robustness
(1)
representation learning
(1)
set matching
(1)
online clustering
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knowledge transfer
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test-time adaptation
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unsupervised domain adaptation
(1)
feature extraction
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distribution shift
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generalization error
(1)
distribution matching
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adversarial training
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transfer learning
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Papers
A Layer Selection Approach to Test Time Adaptation
AAAI 2025
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
NeurIPS 2024
Generalizing across Temporal Domains with Koopman Operators
AAAI 2024
Gap Minimization for Knowledge Sharing and Transfer
JMLR 2023
Fair Representation Learning through Implicit Path Alignment
ICML 2022
Matching Feature Sets for Few-Shot Image Classification
CVPR 2022
On Learning Fairness and Accuracy on Multiple Subgroups
NeurIPS 2022
Aggregating From Multiple Target-Shifted Sources
ICML 2021
Mixture-Based Feature Space Learning for Few-Shot Image Classification
ICCV 2021
Associative Alignment for Few-shot Image Classification
ECCV 2020
Deep Active Learning: Unified and Principled Method for Query and Training
AISTATS 2020
A Principled Approach for Learning Task Similarity in Multitask Learning
IJCAI 2019
Deep Parametric Indoor Lighting Estimation
ICCV 2019
DEAP: Evolutionary Algorithms Made Easy
JMLR 2012