Nathan Noiry

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 21

Top Topics

Automatic Evaluation

Natural Language Generation

Von Mises Fisher

Top Venues

IJCNLP (Findings)

Publications

Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida
The Glass Ceiling of Automatic Evaluation in Natural Language Generation. IJCNLP (Findings) (2023)
Eduardo Dadalto Câmara Gomes, Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection. CoRR (2023)
Anas Himmi, Ekhine Irurozki, Nathan Noiry, Stéphan Clémençon, Pierre Colombo
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks. CoRR (2023)
Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification. IJCNLP (Findings) (2023)
Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
Toward Stronger Textual Attack Detectors. EMNLP (Findings) (2023)
Flore Sentenac, Nathan Noiry, Matthieu Lerasle, Laurent Ménard, Vianney Perchet
Online Matching in Geometric Random Graphs. CoRR (2023)
Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification. CoRR (2023)
Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida
Toward Stronger Textual Attack Detectors. CoRR (2023)
Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida
The Glass Ceiling of Automatic Evaluation in Natural Language Generation. CoRR (2022)
Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
Beyond Mahalanobis-Based Scores for Textual OOD Detection. CoRR (2022)
Pierre Colombo, Nathan Noiry, Ekhine Irurozki, Stéphan Clémençon
What are the best Systems? New Perspectives on NLP Benchmarking. NeurIPS (2022)
Jean-Rémy Conti, Nathan Noiry, Stéphan Clémençon, Vincent Despiegel, Stéphane Gentric
Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model. ICML (2022)
Pierre Colombo, Nathan Noiry, Ekhine Irurozki, Stéphan Clémençon
What are the best systems? New perspectives on NLP Benchmarking. CoRR (2022)
Jean-Rémy Conti, Nathan Noiry, Vincent Despiegel, Stéphane Gentric, Stéphan Clémençon
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model. CoRR (2022)
Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
Learning Disentangled Textual Representations via Statistical Measures of Similarity. CoRR (2022)
Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
Learning Disentangled Textual Representations via Statistical Measures of Similarity. ACL (1) (2022)
Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida
Beyond Mahalanobis Distance for Textual OOD Detection. NeurIPS (2022)
Nathan Noiry, Flore Sentenac, Vianney Perchet
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm. CoRR (2021)
Nathan Noiry, Vianney Perchet, Flore Sentenac
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm. NeurIPS (2021)
Myrto Limnios, Nathan Noiry, Stéphan Clémençon
Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics. LIDTA@ECML/PKDD (2021)
Patrice Bertail, Stéphan Clémençon, Yannick Guyonvarch, Nathan Noiry
Learning from Biased Data: A Semi-Parametric Approach. ICML (2021)