Nathan Noiry

According to our database, Nathan Noiry authored at least 14 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Online Matching in Geometric Random Graphs.

Flore Sentenac, Nathan Noiry, Matthieu Lerasle, Laurent Ménard, Vianney Perchet

CoRR, 2023

A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection.

Eduardo Dadalto Câmara Gomes, Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida

CoRR, 2023

Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks.

Anas Himmi, Ekhine Irurozki, Nathan Noiry, Stéphan Clémençon, Pierre Colombo

CoRR, 2023

The Glass Ceiling of Automatic Evaluation in Natural Language Generation.

Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification.

Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

Toward Stronger Textual Attack Detectors.

Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Beyond Mahalanobis-Based Scores for Textual OOD Detection.

Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida

CoRR, 2022

What are the best Systems? New Perspectives on NLP Benchmarking.

Pierre Colombo, Nathan Noiry, Ekhine Irurozki, Stéphan Clémençon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Beyond Mahalanobis Distance for Textual OOD Detection.

Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model.

Jean-Rémy Conti, Nathan Noiry, Stéphan Clémençon, Vincent Despiegel, Stéphane Gentric

Proceedings of the International Conference on Machine Learning, 2022

Learning Disentangled Textual Representations via Statistical Measures of Similarity.

Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm.

Nathan Noiry, Vianney Perchet, Flore Sentenac

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics.

Myrto Limnios, Nathan Noiry, Stéphan Clémençon

Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021

Learning from Biased Data: A Semi-Parametric Approach.

Patrice Bertail, Stéphan Clémençon, Yannick Guyonvarch, Nathan Noiry

Proceedings of the 38th International Conference on Machine Learning, 2021