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Myriam Tami
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2020 – today
- 2024
- [c13]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: 269-270 - [i17]Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède:
Causal Contrastive Learning for Counterfactual Regression Over Time. CoRR abs/2406.00535 (2024) - 2023
- [c12]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: 24007-24016 - [c11]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: 4214-4231 - [c10]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 - [i16]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed:
Open-Set Likelihood Maximization for Few-Shot Learning. CoRR abs/2301.08390 (2023) - [i15]Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz
, Sebastian Weichwald:
Simple Sorting Criteria Help Find the Causal Order in Additive Noise Models. CoRR abs/2303.18211 (2023) - [i14]Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède:
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data. CoRR abs/2310.10559 (2023) - [i13]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 abs/2310.13998 (2023) - 2022
- [c9]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: 4766-4775 - [i12]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 abs/2205.05155 (2022) - [i11]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed:
Model-Agnostic Few-Shot Open-Set Recognition. CoRR abs/2206.09236 (2022) - 2021
- [c8]Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot:
Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract). IJCAI 2021: 4750-4754 - [c7]Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot:
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation. IAL@PKDD/ECML 2021: 121-137 - [c6]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: 554-569 - [c5]Yassine Ouali, Céline Hudelot, Myriam Tami:
Spatial Contrastive Learning for Few-Shot Classification. ECML/PKDD (1) 2021: 671-686 - [i10]Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Céline Hudelot:
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift. CoRR abs/2105.11804 (2021) - [i9]Victor Pellegrain, Myriam Tami, Michel Batteux, Céline Hudelot:
StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data. CoRR abs/2110.08021 (2021) - 2020
- [c4]Yassine Ouali, Céline Hudelot, Myriam Tami:
Semi-Supervised Semantic Segmentation With Cross-Consistency Training. CVPR 2020: 12671-12681 - [c3]Yassine Ouali, Céline Hudelot, Myriam Tami:
Autoregressive Unsupervised Image Segmentation. ECCV (7) 2020: 142-158 - [c2]Sami Alkhoury, Emilie Devijver, Marianne Clausel, Myriam Tami, Éric Gaussier, Georges Oppenheim:
Smooth And Consistent Probabilistic Regression Trees. NeurIPS 2020 - [c1]Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot:
Robust Domain Adaptation: Representations, Weights and Inductive Bias. ECML/PKDD (1) 2020: 353-377 - [i8]Yassine Ouali, Céline Hudelot, Myriam Tami:
Semi-Supervised Semantic Segmentation with Cross-Consistency Training. CoRR abs/2003.09005 (2020) - [i7]Yassine Ouali, Céline Hudelot, Myriam Tami:
An Overview of Deep Semi-Supervised Learning. CoRR abs/2006.05278 (2020) - [i6]Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot:
Robust Domain Adaptation: Representations, Weights and Inductive Bias. CoRR abs/2006.13629 (2020) - [i5]Yassine Ouali, Victor Bouvier, Myriam Tami, Céline Hudelot:
Target Consistency for Domain Adaptation: when Robustness meets Transferability. CoRR abs/2006.14263 (2020) - [i4]Yassine Ouali, Céline Hudelot, Myriam Tami:
Autoregressive Unsupervised Image Segmentation. CoRR abs/2007.08247 (2020) - [i3]Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot:
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation. CoRR abs/2012.01843 (2020) - [i2]Yassine Ouali, Céline Hudelot, Myriam Tami:
Spatial Contrastive Learning for Few-Shot Classification. CoRR abs/2012.13831 (2020)
2010 – 2019
- 2018
- [i1]Myriam Tami, Marianne Clausel, Emilie Devijver, Adrien Dulac, Éric Gaussier, Stefan Janaqi, Mériam Chèbre:
Dealing with Uncertain Inputs in Regression Trees. CoRR abs/1810.11698 (2018)
Coauthor Index
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last updated on 2024-08-05 20:26 CEST by the dblp team
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