Myriam Tami - RankMe

33 papers A* 7Journal 18Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data. Trans. Mach. Learn. Res. Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède
2025	—	`conf`	Counterfactual Robustness: A Framework to Analyze the Robustness of Causal Generative Models Across Interventions. ECML/PKDD (1) Manal Benhamza, Marianne Clausel, Myriam Tami
2024	A*	`conf`	Causal Contrastive Learning for Counterfactual Regression Over Time. NeurIPS Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède
2024	J	`jnl`	Causal Contrastive Learning for Counterfactual Regression Over Time. CoRR Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède
2024	—	`conf`	Cybersecurity Metrics for AI-Based In-Vehicle Intrusion Detection Systems. VNC Mohammed Lamine Bouchouia, Hamza Khemissa, Elies Gherbi, Myriam Tami, Duncan Lopes, Natasha Alkhatib, Maxime Ayrault
2023	A*	`conf`	A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models. NeurIPS Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald
2023	J	`jnl`	Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data. CoRR Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède
2023	A*	`conf`	Open-Set Likelihood Maximization for Few-Shot Learning. CVPR Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed
2023	J	`jnl`	Open-Set Likelihood Maximization for Few-Shot Learning. CoRR Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed
2023	J	`jnl`	Simple Sorting Criteria Help Find the Causal Order in Additive Noise Models. CoRR Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald
2023	A*	`conf`	Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. EMNLP Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida
2023	J	`jnl`	Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. CoRR Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida
2022	—	`conf`	Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling. CVPR Workshops Etienne Bennequin, Myriam Tami, Antoine Toubhans, Céline Hudelot
2022	J	`jnl`	Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling. CoRR Etienne Bennequin, Myriam Tami, Antoine Toubhans, Céline Hudelot
2022	J	`jnl`	Model-Agnostic Few-Shot Open-Set Recognition. CoRR Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed
2021	—	`conf`	Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift. ECML/PKDD (1) Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Céline Hudelot
2021	J	`jnl`	Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift. CoRR Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Céline Hudelot
2021	A*	`conf`	Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract). IJCAI Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot
2021	—	`conf`	Spatial Contrastive Learning for Few-Shot Classification. ECML/PKDD (1) Yassine Ouali, Céline Hudelot, Myriam Tami
2021	—	`conf`	Stochastic Adversarial Gradient Embedding for Active Domain Adaptation. IAL@PKDD/ECML Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot
2021	J	`jnl`	StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data. CoRR Victor Pellegrain, Myriam Tami, Michel Batteux, Céline Hudelot
2020	J	`jnl`	An Overview of Deep Semi-Supervised Learning. CoRR Yassine Ouali, Céline Hudelot, Myriam Tami
2020	—	`conf`	Autoregressive Unsupervised Image Segmentation. ECCV (7) Yassine Ouali, Céline Hudelot, Myriam Tami
2020	J	`jnl`	Autoregressive Unsupervised Image Segmentation. CoRR Yassine Ouali, Céline Hudelot, Myriam Tami
2020	—	`conf`	Robust Domain Adaptation: Representations, Weights and Inductive Bias. ECML/PKDD (1) Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot
2020	J	`jnl`	Robust Domain Adaptation: Representations, Weights and Inductive Bias. CoRR Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot
2020	A*	`conf`	Semi-Supervised Semantic Segmentation With Cross-Consistency Training. CVPR Yassine Ouali, Céline Hudelot, Myriam Tami
2020	J	`jnl`	Semi-Supervised Semantic Segmentation with Cross-Consistency Training. CoRR Yassine Ouali, Céline Hudelot, Myriam Tami
2020	A*	`conf`	Smooth And Consistent Probabilistic Regression Trees. NeurIPS Sami Alkhoury, Emilie Devijver, Marianne Clausel, Myriam Tami, Éric Gaussier, Georges Oppenheim
2020	J	`jnl`	Spatial Contrastive Learning for Few-Shot Classification. CoRR Yassine Ouali, Céline Hudelot, Myriam Tami
2020	J	`jnl`	Stochastic Adversarial Gradient Embedding for Active Domain Adaptation. CoRR Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot
2020	J	`jnl`	Target Consistency for Domain Adaptation: when Robustness meets Transferability. CoRR Yassine Ouali, Victor Bouvier, Myriam Tami, Céline Hudelot
2018	J	`jnl`	Dealing with Uncertain Inputs in Regression Trees. CoRR Myriam Tami, Marianne Clausel, Emilie Devijver, Adrien Dulac, Éric Gaussier, Stefan Janaqi, Mériam Chèbre