Tami, Myriam

1. Semi-Supervised Semantic Segmentation with Cross-Consistency Training
   2020/03/19 by Ouali, Yassine, Hudelot, Céline, Tami, Myriam · 37 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
2. An Overview of Deep Semi-Supervised Learning
   2020/06/09 by Yassine Ouali, Ouali, Yassine, Céline Hudelot +3 · 14 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Machine Learning and Data Classification
3. A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models
   2023/03/31 by Alexander G. Reisach, Reisach, Alexander G., Myriam Tami +7 · 8 citations
   Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Topic Modeling
4. Autoregressive Unsupervised Image Segmentation
   2020/07/16 by Ouali, Yassine, Hudelot, Céline, Tami, Myriam · 3 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
5. Causal Contrastive Learning for Counterfactual Regression Over Time
   2024/06/01 by Mouad El Bouchattaoui, Myriam Tami, Bouchattaoui, Mouad El +5 · 3 citations
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Methodology (stat.ME)
6. Robust Domain Adaptation: Representations, Weights and Inductive Bias
   2020/06/24 by Bouvier, Victor, Very, Philippe, Chastagnol, Clément +2 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Spatial Contrastive Learning for Few-Shot Classification
   2020/12/26 by Ouali, Yassine, Hudelot, Céline, Tami, Myriam · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Bridging Few-Shot Learning and Adaptation: New Challenges of\n Support-Query Shift
   2021/05/25 by Etienne Bennequin, Victor Bouvier, Bennequin, Etienne +7 · 1 citation
   Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM #Multimodal Machine Learning Applications
9. Model-Agnostic Few-Shot Open-Set Recognition
   2022/06/18 by Malik Boudiaf, Etienne Bennequin, Boudiaf, Malik +11 · 1 citation
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
10. StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data
    2021/10/15 by Victor Pellegrain, Myriam Tami, Pellegrain, Victor +5 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #Computation and Language (cs.CL) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM) #Time Series Analysis and Forecasting
11. Open-Set Likelihood Maximization for Few-Shot Learning
    2023/01/20 by Malik Boudiaf, Etienne Bennequin, Boudiaf, Malik +11 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
12. Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling
    2022/05/10 by Etienne Bennequin, Bennequin, Etienne, Myriam Tami +5 · 1 citation
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Data Classification