Learning from Biased Data: A Semi-Parametric Approach. - Patrice Bertail; Stéphan Clémençon; Yannick Guyonvarch; Nathan Noiry (ICML, 2021)

Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics. - Myrto Limnios; Nathan Noiry; Stéphan Clémençon (LIDTA@ECML/PKDD, 2021)

Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm. - Nathan Noiry; Vianney Perchet; Flore Sentenac (NeurIPS, 2021)

Learning Disentangled Textual Representations via Statistical Measures of Similarity. - Pierre Colombo; Guillaume Staerman; Nathan Noiry; Pablo Piantanida (ACL (1), 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 (ICML, 2022)

Beyond Mahalanobis Distance for Textual OOD Detection. - Pierre Colombo; Eduardo Dadalto Câmara Gomes; Guillaume Staerman; Nathan Noiry; Pablo Piantanida (NeurIPS, 2022)

What are the best Systems? New Perspectives on NLP Benchmarking. - Pierre Colombo; Nathan Noiry; Ekhine Irurozki; Stéphan Clémençon (NeurIPS, 2022)

Beyond Mahalanobis-Based Scores for Textual OOD Detection. - Pierre Colombo; Eduardo Dadalto Câmara Gomes; Guillaume Staerman; Nathan Noiry; Pablo Piantanida (CoRR, 2022)

Toward Stronger Textual Attack Detectors. - Pierre Colombo; Marine Picot; Nathan Noiry; Guillaume Staerman; Pablo Piantanida (EMNLP (Findings), 2023)

A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification. - Pierre Colombo; Nathan Noiry; Guillaume Staerman; Pablo Piantanida (IJCNLP (Findings), 2023)

The Glass Ceiling of Automatic Evaluation in Natural Language Generation. - Pierre Colombo; Maxime Peyrard; Nathan Noiry; Robert West 001; Pablo Piantanida (IJCNLP (Findings), 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)

Online Matching in Geometric Random Graphs. - Flore Sentenac; Nathan Noiry; Matthieu Lerasle; Laurent Ménard; Vianney Perchet (CoRR, 2023)

Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks. - Anas Himmi; Ekhine Irurozki; Nathan Noiry; Stéphan Clémençon; Pierre Colombo (EMNLP (Findings), 2024)

Learning to rank anomalies: scalar performance criteria and maximization of rank statistics. - Myrto Limnios; Nathan Noiry; Stéphan Clémençon (Mach. Learn., 2024)