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Amaury Habrard

  1. A Survey on Metric Learning for Feature Vectors and Structured Data
    2013/06/28 by Aurélien Bellet, Amaury Habrard, Bellet, Aurélien +3 · 33 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Text and Document Classification Technologies
  2. Joint Distribution Optimal Transportation for Domain Adaptation
    2017/05/24 by Rémi Flamary, Courty, Nicolas, Flamary, Rémi +4 · 18 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Face recognition and analysis #Stochastic Gradient Optimization Techniques
  3. Theoretical Analysis of Domain Adaptation with Optimal Transport
    2016/10/14 by Ievgen Redko, Amaury Habrard, Redko, Ievgen +3 · 7 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Face recognition and analysis #Stochastic Gradient Optimization Techniques
  4. A survey on domain adaptation theory: learning bounds and theoretical guarantees
    2020/04/24 by Ievgen Redko, Redko, Ievgen, Emilie Morvant +7 · 7 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  5. A New PAC-Bayesian Perspective on Domain Adaptation
    2015/06/15 by Pascal Germain, Germain, Pascal, Amaury Habrard +5 · 6 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and ELM
  6. A General Framework for the Practical Disintegration of PAC-Bayesian Bounds
    2021/02/16 by Paul Viallard, Pascal Germain, Viallard, Paul +5 · 5 citations
    Computer Science · Engineering · #Machine Learning and Algorithms #Fault Detection and Control Systems #Adversarial Robustness in Machine Learning
  7. Subspace Alignment For Domain Adaptation
    2014/09/18 by Basura Fernando, Fernando, Basura, Amaury Habrard +5 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Respiratory viral infections research
  8. Learning rational stochastic languages
    2006/02/17 by François Denis, Yann Esposito, Denis, François +3 · 2 citations
    Computer Science · #Machine Learning and Algorithms #Algorithms and Data Compression #semigroups and automata theory
  9. Metric Learning from Imbalanced Data
    2019/09/04 by Léo Gautheron, Gautheron, Léo, Emilie Morvant +5 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Vehicle License Plate Recognition
  10. Proposal-Contrastive Pretraining for Object Detection from Fewer Data
    2023/10/25 by Quentin Bouniot, Bouniot, Quentin, Romaric Audigier +5 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  11. Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures
    2024/02/19 by Paul Viallard, Viallard, Paul, Rémi Emonet +7 · 1 citation
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
  12. On the post-hoc Evaluation of PDE Discovery: A Multifaceted Challenge of Scientific Advancement
    2026/07/26 by Baptiste Mathevon, Farah Cherfaoui, Amaury Habrard +1
    #cs.LG