Marc Sebban
12 papers · 2002–2025 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🏃 Academic Marathon (23) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (14)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(23)
🗃️
Keyword Collector
(50)
📈
Trend Setter
💎
Century Club
(12)
🚀
Conference Pioneer
Conferences
IJCAI (3)
CVPR (2)
ICML (2)
AAAI (1)
AISTATS (1)
ICCV (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
domain adaptation
(4)
optimal transport
(4)
metric learning
(3)
wasserstein distance
(3)
transfer learning
(2)
subspace alignment
(2)
few-shot learning
(1)
semi-supervised learning
(1)
differential privacy
(1)
similarity learning
(1)
data reduction
(1)
weakly supervised learning
(1)
unsupervised domain adaptation
(1)
minimax optimization
(1)
multi-instance learning
(1)
distribution matching
(1)
multiclass classification
(1)
class imbalance
(1)
tensor decomposition
(1)
representation learning
(1)
Papers
A Bregman Proximal Viewpoint on Neural Operators
ICML 2025
Optimal Tensor Transport
AAAI 2022
Metric Learning in Optimal Transport for Domain Adaptation
IJCAI 2020
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data
IJCAI 2020
A Swiss Army Knife for Minimax Optimal Transport
ICML 2020
From Cost-Sensitive Classification to Tight F-measure Bounds
AISTATS 2019
Differentially Private Optimal Transport: Application to Domain Adaptation
IJCAI 2019
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data
NIPS 2016
Metric Learning as Convex Combinations of Local Models With Generalization Guarantees
CVPR 2016
Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation
CVPR 2015
Unsupervised Visual Domain Adaptation Using Subspace Alignment
ICCV 2013
Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem
JMLR 2002