Myriam Tami

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Unsupervised Image Segmentation

Transductive Learning

Domain Adaptation

Top Venues

Publications

Mohammed Lamine Bouchouia, Hamza Khemissa, Elies Gherbi, Myriam Tami, Duncan Lopes, Natasha Alkhatib, Maxime Ayrault
Cybersecurity Metrics for AI-Based In-Vehicle Intrusion Detection Systems. VNC (2024)
Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède
Causal Contrastive Learning for Counterfactual Regression Over Time. CoRR (2024)
Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data. CoRR (2023)
Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. EMNLP (2023)
Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models. NeurIPS (2023)
Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed
Open-Set Likelihood Maximization for Few-Shot Learning. CoRR (2023)
Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald
Simple Sorting Criteria Help Find the Causal Order in Additive Noise Models. CoRR (2023)
Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed
Open-Set Likelihood Maximization for Few-Shot Learning. CVPR (2023)
Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. CoRR (2023)
Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed
Model-Agnostic Few-Shot Open-Set Recognition. CoRR (2022)
Etienne Bennequin, Myriam Tami, Antoine Toubhans, Céline Hudelot
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling. CVPR Workshops (2022)
Etienne Bennequin, Myriam Tami, Antoine Toubhans, Céline Hudelot
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling. CoRR (2022)
Victor Pellegrain, Myriam Tami, Michel Batteux, Céline Hudelot
StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data. CoRR (2021)
Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Céline Hudelot
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift. ECML/PKDD (1) (2021)
Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Céline Hudelot
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift. CoRR (2021)
Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation. IAL@PKDD/ECML (2021)
Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot
Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract). IJCAI (2021)
Yassine Ouali, Céline Hudelot, Myriam Tami
Spatial Contrastive Learning for Few-Shot Classification. ECML/PKDD (1) (2021)
Yassine Ouali, Céline Hudelot, Myriam Tami
Autoregressive Unsupervised Image Segmentation. CoRR (2020)
Yassine Ouali, Céline Hudelot, Myriam Tami
An Overview of Deep Semi-Supervised Learning. CoRR (2020)
Yassine Ouali, Céline Hudelot, Myriam Tami
Spatial Contrastive Learning for Few-Shot Classification. CoRR (2020)
Yassine Ouali, Victor Bouvier, Myriam Tami, Céline Hudelot
Target Consistency for Domain Adaptation: when Robustness meets Transferability. CoRR (2020)
Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot
Robust Domain Adaptation: Representations, Weights and Inductive Bias. CoRR (2020)
Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot
Robust Domain Adaptation: Representations, Weights and Inductive Bias. ECML/PKDD (1) (2020)
Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation. CoRR (2020)
Yassine Ouali, Céline Hudelot, Myriam Tami
Autoregressive Unsupervised Image Segmentation. ECCV (7) (2020)
Yassine Ouali, Céline Hudelot, Myriam Tami
Semi-Supervised Semantic Segmentation With Cross-Consistency Training. CVPR (2020)
Yassine Ouali, Céline Hudelot, Myriam Tami
Semi-Supervised Semantic Segmentation with Cross-Consistency Training. CoRR (2020)
Sami Alkhoury, Emilie Devijver, Marianne Clausel, Myriam Tami, Éric Gaussier, Georges Oppenheim
Smooth And Consistent Probabilistic Regression Trees. NeurIPS (2020)
Myriam Tami, Marianne Clausel, Emilie Devijver, Adrien Dulac, Éric Gaussier, Stefan Janaqi, Mériam Chèbre
Dealing with Uncertain Inputs in Regression Trees. CoRR (2018)