Learning to summarise XML documents using content and structure. - Massih-Reza Amini; Anastasios Tombros; Nicolas Usunier; Mounia Lalmas; Patrick Gallinari (CIKM, 2005)

Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms. - Massih-Reza Amini; Nicolas Usunier; Patrick Gallinari (ECIR, 2005)

Combinaison de fonctions de préférence par boosting pour la recherche de passages dans les systèmes de question/réponse. - Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (EGC, 2005)

Generalization error bounds for classifiers trained with interdependent data. - Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (NIPS, 2005)

Factorisation en matrices non négatives pour le filtrage collaboratif. - Jean-François Pessiot; Tuong-Vinh Truong; Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (CORIA, 2006)

A Selective Sampling Strategy for Label Ranking. - Massih-Reza Amini; Nicolas Usunier; François Laviolette; Alexandre Lacasse; Patrick Gallinari (ECML, 2006)

PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier. - Alexandre Lacasse; François Laviolette; Mario Marchand; Pascal Germain; Nicolas Usunier (NIPS, 2006)

Résumé automatique de texte avec un algorithme d'ordonnancement. - Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (Ingénierie des Systèmes d Inf., 2006)

Filtrage Collaboratif avec un Algorithme d'Ordonnancement. - Jean-François Pessiot; Tuong-Vinh Truong; Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (CORIA, 2007)

Learning to Rank for Collaborative Filtering. - Jean-François Pessiot; Tuong-Vinh Truong; Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (ICEIS (2), 2007)

UHigh-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost Algorithm. - Christophe Marsala; Marcin Detyniecki; Nicolas Usunier; Massih-Reza Amini (TRECVID, 2007)

Learning-based summarisation of XML documents. - Massih-Reza Amini; Anastasios Tombros; Nicolas Usunier; Mounia Lalmas (Inf. Retr., 2007)

Une méthode contextuelle d'extension de requête avec des groupements de mots pour le résumé automatique. - Jean-François Pessiot; Young-Min Kim; Massih-Reza Amini; Nicolas Usunier; Patrick Gallinari (CORIA, 2008)

A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning. - Massih-Reza Amini; François Laviolette; Nicolas Usunier (NIPS, 2008)

Sequence Labelling SVMs Trained in One Pass. - Antoine Bordes; Nicolas Usunier; Léon Bottou (ECML/PKDD (1), 2008)

Improving Image Annotation in Imbalanced Classification Problems with Ranking SVM. - Ali Fakeri-Tabrizi; Sabrina Tollari; Nicolas Usunier; Patrick Gallinari (CLEF (2), 2009)

Ranking with ordered weighted pairwise classification. - Nicolas Usunier; David Buffoni; Patrick Gallinari (ICML, 2009)

LIP6 at INEX'09: OWPC for Ad Hoc Track. - David Buffoni; Nicolas Usunier; Patrick Gallinari (INEX, 2009)

Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization. - Massih-Reza Amini; Nicolas Usunier; Cyril Goutte (NIPS, 2009)

Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization. - Massih-Reza Amini; Nicolas Usunier (SIGIR, 2009)

UPMC/LIP6 at ImageCLEFannotation 2010. - Ali Fakeri-Tabrizi; Sabrina Tollari; Nicolas Usunier; Massih-Reza Amini; Patrick Gallinari (CLEF (Notebook Papers/LABs/Workshops), 2010)

Apprentissage de fonctions d'ordonnancement par classification de paires ordonnées et pondérées (OWPC). - David Buffoni; Nicolas Usunier; Patrick Gallinari (CORIA, 2010)

Predicting Critical Intradomain Routing Events. - Amelie Medem Kuatse; Renata Teixeira; Nicolas Usunier (GLOBECOM, 2010)

Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences. - Antoine Bordes; Nicolas Usunier; Jason Weston (ICML, 2010)

LIP6 at INEX'10: OWPC for Ad Hoc Track. - David Buffoni; Nicolas Usunier; Patrick Gallinari (INEX, 2010)

Combining coregularization and consensus-based self-training for multilingual text categorization. - Massih-Reza Amini; Cyril Goutte; Nicolas Usunier (SIGIR, 2010)

Towards Understanding Situated Natural Language. - Antoine Bordes; Nicolas Usunier; Ronan Collobert; Jason Weston (AISTATS, 2010)

Guarantees for Approximate Incremental SVMs. - Nicolas Usunier; Antoine Bordes; Léon Bottou (AISTATS, 2010)

Large scale image annotation: learning to rank with joint word-image embeddings. - Jason Weston; Samy Bengio; Nicolas Usunier (Mach. Learn., 2010)

Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision. - David Buffoni; Clément Calauzènes; Patrick Gallinari; Nicolas Usunier (ICML, 2011)

WSABIE: Scaling Up to Large Vocabulary Image Annotation. - Jason Weston; Samy Bengio; Nicolas Usunier (IJCAI, 2011)

A case study in a recommender system based on purchase data. - Bruno Pradel; Savaneary Sean; Julien Delporte; Sébastien Guérif; Céline Rouveirol; Nicolas Usunier; Françoise Fogelman-Soulié; Frédéric Dufau-Joël (KDD, 2011)

Multiview Semi-supervised Learning for Ranking Multilingual Documents. - Nicolas Usunier; Massih-Reza Amini; Cyril Goutte (ECML/PKDD (3), 2011)

Transductive learning over automatically detected themes for multi-document summarization. - Massih-Reza Amini; Nicolas Usunier (SIGIR, 2011)

Learnable Ranking Models for Automatic Text Summarization and Information Retrieval. - Massih-Reza Amini; David Buffoni; Patrick Gallinari; Tuong-Vinh Truong; Nicolas Usunier (Textual Information Access: Statistical Models, 2012)

"On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking". - Clément Calauzènes; Nicolas Usunier; Patrick Gallinari (NIPS, 2012)

Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics. - Bruno Pradel; Nicolas Usunier; Patrick Gallinari (RecSys, 2012)

Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction. - Jason Weston; Antoine Bordes; Oksana Yakhnenko; Nicolas Usunier (EMNLP, 2013)

Translating Embeddings for Modeling Multi-relational Data. - Antoine Bordes; Nicolas Usunier; Alberto García-Durán; Jason Weston; Oksana Yakhnenko (NIPS, 2013)

Robust Bloom Filters for Large MultiLabel Classification Tasks. - Moustapha Cissé; Nicolas Usunier; Thierry Artières; Patrick Gallinari (NIPS, 2013)

Irreflexive and Hierarchical Relations as Translations - Antoine Bordes; Nicolas Usunier; Alberto García-Durán; Jason Weston; Oksana Yakhnenko (CoRR, 2013)

Calibration and regret bounds for order-preserving surrogate losses in learning to rank. - Clément Calauzènes; Nicolas Usunier; Patrick Gallinari (Mach. Learn., 2013)

Optimizing F-Measures by Cost-Sensitive Classification. - Shameem Puthiya Parambath; Nicolas Usunier; Yves Grandvalet (NIPS, 2014)

Open Question Answering with Weakly Supervised Embedding Models. - Antoine Bordes; Jason Weston; Nicolas Usunier (ECML/PKDD (1), 2014)

Effective Blending of Two and Three-way Interactions for Modeling Multi-relational Data. - Alberto García-Durán; Antoine Bordes; Nicolas Usunier (ECML/PKDD (1), 2014)

Learning with Partially Labeled and Interdependent Data - Massih-Reza Amini; Nicolas Usunier (Springer, 2015)

Composing Relationships with Translations. - Alberto García-Durán; Antoine Bordes; Nicolas Usunier (EMNLP, 2015)

On Binary Reduction of Large-Scale Multiclass Classification Problems. - Bikash Joshi; Massih-Reza Amini; Ioannis Partalas; Liva Ralaivola; Nicolas Usunier; Éric Gaussier (IDA, 2015)

Large-scale Simple Question Answering with Memory Networks. - Antoine Bordes; Nicolas Usunier; Sumit Chopra; Jason Weston (CoRR, 2015)

Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases. - Alberto García-Durán; Antoine Bordes; Nicolas Usunier; Yves Grandvalet (CoRR, 2015)

Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure. - Shameem Ahamed Puthiya Parambath; Nicolas Usunier; Yves Grandvalet (CoRR, 2015)

Multiview self-learning. - Ali Fakeri-Tabrizi; Massih-Reza Amini; Cyril Goutte; Nicolas Usunier (Neurocomputing, 2015)

Joint Learning of Speaker and Phonetic Similarities with Siamese Networks. - Neil Zeghidour; Gabriel Synnaeve; Nicolas Usunier; Emmanuel Dupoux (INTERSPEECH, 2016)

A Coverage-Based Approach to Recommendation Diversity On Similarity Graph. - Shameem Puthiya Parambath; Nicolas Usunier; Yves Grandvalet (RecSys, 2016)

Constructing and Mining Web-scale Knowledge Graphs. - Evgeniy Gabrilovich; Nicolas Usunier (SIGIR, 2016)

TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games. - Gabriel Synnaeve; Nantas Nardelli; Alex Auvolat; Soumith Chintala; Timothée Lacroix; Zeming Lin; Florian Richoux; Nicolas Usunier (CoRR, 2016)

Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks. - Nicolas Usunier; Gabriel Synnaeve; Zeming Lin; Soumith Chintala (CoRR, 2016)

Combining Two and Three-Way Embedding Models for Link Prediction in Knowledge Bases. - Alberto García-Durán; Antoine Bordes; Nicolas Usunier; Yves Grandvalet (J. Artif. Intell. Res., 2016)

An empirical comparison of V-fold penalisation and cross-validation for model selection in distribution-free regression. - Charanpal Dhanjal; Nicolas Baskiotis; Stéphan Clémençon; Nicolas Usunier (Pattern Anal. Appl., 2016)

How should we evaluate supervised hashing? - Alexandre Sablayrolles; Matthijs Douze; Nicolas Usunier; Hervé Jégou (ICASSP, 2017)

Dense and Low-Rank Gaussian CRFs Using Deep Embeddings. - Siddhartha Chandra; Nicolas Usunier; Iasonas Kokkinos (ICCV, 2017)

Improving Neural Language Models with a Continuous Cache. - Edouard Grave; Armand Joulin; Nicolas Usunier (ICLR (Poster), 2017)

Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement. - Nicolas Usunier; Gabriel Synnaeve; Zeming Lin; Soumith Chintala (ICLR (Poster), 2017)

Parseval Networks: Improving Robustness to Adversarial Examples. - Moustapha Cissé; Piotr Bojanowski; Edouard Grave; Yann N. Dauphin; Nicolas Usunier (ICML, 2017)

Fader Networks: Manipulating Images by Sliding Attributes. - Guillaume Lample; Neil Zeghidour; Nicolas Usunier; Antoine Bordes; Ludovic Denoyer; Marc'Aurelio Ranzato (NIPS, 2017)

Learning Filterbanks from Raw Speech for Phone Recognition. - Neil Zeghidour; Nicolas Usunier; Iasonas Kokkinos; Thomas Schatz; Gabriel Synnaeve; Emmanuel Dupoux (ICASSP, 2018)

Canonical Tensor Decomposition for Knowledge Base Completion. - Timothée Lacroix; Nicolas Usunier; Guillaume Obozinski (ICML, 2018)

End-to-End Speech Recognition from the Raw Waveform. - Neil Zeghidour; Nicolas Usunier; Gabriel Synnaeve; Ronan Collobert; Emmanuel Dupoux (INTERSPEECH, 2018)

SING: Symbol-to-Instrument Neural Generator. - Alexandre Défossez; Neil Zeghidour; Nicolas Usunier; Léon Bottou; Francis R. Bach (NeurIPS, 2018)

Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger. - Gabriel Synnaeve; Zeming Lin; Jonas Gehring; Daniel Gant; Vegard Mella; Vasil Khalidov; Nicolas Carion; Nicolas Usunier (NeurIPS, 2018)

High-Level Strategy Selection under Partial Observability in StarCraft: Brood War. - Jonas Gehring; Da Ju; Vegard Mella; Daniel Gant; Nicolas Usunier; Gabriel Synnaeve (CoRR, 2018)

Fully Convolutional Speech Recognition. - Neil Zeghidour; Qiantong Xu; Vitaliy Liptchinsky; Nicolas Usunier; Gabriel Synnaeve; Ronan Collobert (CoRR, 2018)

To Reverse the Gradient or Not: an Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. - Yossi Adi; Neil Zeghidour; Ronan Collobert; Nicolas Usunier; Vitaliy Liptchinsky; Gabriel Synnaeve (ICASSP, 2019)

Value Propagation Networks. - Nantas Nardelli; Gabriel Synnaeve; Zeming Lin; Pushmeet Kohli; Philip H. S. Torr; Nicolas Usunier (ICLR (Poster), 2019)

A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning. - Nicolas Carion; Nicolas Usunier; Gabriel Synnaeve; Alessandro Lazaric (NeurIPS, 2019)

Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed. - Alexandre Défossez; Nicolas Usunier; Léon Bottou; Francis R. Bach (CoRR, 2019)

Music Source Separation in the Waveform Domain. - Alexandre Défossez; Nicolas Usunier; Léon Bottou; Francis R. Bach (CoRR, 2019)

End-to-End Object Detection with Transformers. - Nicolas Carion; Francisco Massa; Gabriel Synnaeve; Nicolas Usunier; Alexander Kirillov; Sergey Zagoruyko (ECCV (1), 2020)

Tensor Decompositions for Temporal Knowledge Base Completion. - Timothée Lacroix; Guillaume Obozinski; Nicolas Usunier (ICLR, 2020)

Fully Parallel Hyperparameter Search: Reshaped Space-Filling. - Marie-Liesse Cauwet; Camille Couprie; Julien Dehos; Pauline Luc; Jérémy Rapin; Morgane Rivière; Fabien Teytaud; Olivier Teytaud; Nicolas Usunier (ICML, 2020)

Growing Action Spaces. - Gregory Farquhar; Laura Gustafson; Zeming Lin; Shimon Whiteson; Nicolas Usunier; Gabriel Synnaeve (ICML, 2020)

On ranking via sorting by estimated expected utility. - Clément Calauzènes; Nicolas Usunier (NeurIPS, 2020)

On the Convergence of Adam and Adagrad. - Alexandre Défossez; Léon Bottou; Francis R. Bach; Nicolas Usunier (CoRR, 2020)

Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization. - Pierre-Alexandre Kamienny; Matteo Pirotta; Alessandro Lazaric; Thibault Lavril; Nicolas Usunier; Ludovic Denoyer (CoRR, 2020)

Online Selection of Diverse Committees. - Virginie Do; Jamal Atif; Jérôme Lang; Nicolas Usunier (IJCAI, 2021)

Two-sided fairness in rankings via Lorenz dominance. - Virginie Do; Sam Corbett-Davies; Jamal Atif; Nicolas Usunier (NeurIPS, 2021)

Hierarchical Skills for Efficient Exploration. - Jonas Gehring; Gabriel Synnaeve; Andreas Krause 001; Nicolas Usunier (NeurIPS, 2021)

A Self-Supervised Auxiliary Loss for Deep RL in Partially Observable Settings. - Eltayeb Ahmed; Luisa M. Zintgraf; Christian A. Schröder de Witt; Nicolas Usunier (CoRR, 2021)

Online Certification of Preference-Based Fairness for Personalized Recommender Systems. - Virginie Do; Sam Corbett-Davies; Jamal Atif; Nicolas Usunier (AAAI, 2022)

Fairness Indicators for Systematic Assessments of Visual Feature Extractors. - Priya Goyal; Adriana Romero-Soriano; Caner Hazirbas; Levent Sagun; Nicolas Usunier (FAccT, 2022)

Fast online ranking with fairness of exposure. - Nicolas Usunier; Virginie Do; Elvis Dohmatob (FAccT, 2022)

Gradient Matching for Domain Generalization. - Yuge Shi; Jeffrey Seely; Philip H. S. Torr; Siddharth Narayanaswamy; Awni Y. Hannun; Nicolas Usunier; Gabriel Synnaeve (ICLR, 2022)

Optimizing Generalized Gini Indices for Fairness in Rankings. - Virginie Do; Nicolas Usunier (SIGIR, 2022)

Measuring and signing fairness as performance under multiple stakeholder distributions. - David Lopez-Paz; Diane Bouchacourt; Levent Sagun; Nicolas Usunier (CoRR, 2022)

Parity in Markets - Methods, Costs, and Consequences. - Alexander Peysakhovich; Christian Kroer; Nicolas Usunier (CoRR, 2022)

A Simple Convergence Proof of Adam and Adagrad. - Alexandre Défossez; Léon Bottou; Francis R. Bach; Nicolas Usunier (Trans. Mach. Learn. Res., 2022)

Group fairness without demographics using social networks. - David Liu 006; Virginie Do; Nicolas Usunier; Maximilian Nickel (FAccT, 2023)

Implementing Fairness Constraints in Markets Using Taxes and Subsidies. - Alexander Peysakhovich; Christian Kroer; Nicolas Usunier (FAccT, 2023)

Contextual bandits with concave rewards, and an application to fair ranking. - Virginie Do; Elvis Dohmatob; Matteo Pirotta; Alessandro Lazaric; Nicolas Usunier (ICLR, 2023)

Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract). - Virginie Do; Sam Corbett-Davies; Jamal Atif; Nicolas Usunier (IJCAI, 2023)

Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers. - Melissa Hall; Bobbie Chern; Laura Gustafson; Denisse Ventura; Harshad Kulkarni; Candace Ross; Nicolas Usunier (CoRR, 2023)

Code Llama: Open Foundation Models for Code. - Baptiste Rozière; Jonas Gehring; Fabian Gloeckle; Sten Sootla; Itai Gat; Xiaoqing Ellen Tan; Yossi Adi; Jingyu Liu; Tal Remez; Jérémy Rapin; Artyom Kozhevnikov; Ivan Evtimov; et al. (CoRR, 2023)

Leveraging Demonstrations with Latent Space Priors. - Jonas Gehring; Deepak Gopinath; Jungdam Won; Andreas Krause 001; Gabriel Synnaeve; Nicolas Usunier (Trans. Mach. Learn. Res., 2023)

System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes. - Arpit Agarwal; Nicolas Usunier; Alessandro Lazaric; Maximilian Nickel (FAccT, 2024)

Inverting Gradient Attacks Naturally Makes Data Poisons: An Availability Attack on Neural Networks. - Wassim Bouaziz; El-Mahdi El-Mhamdi; Nicolas Usunier (CoRR, 2024)

Targeted Data Poisoning for Black-Box Audio Datasets Ownership Verification. - Wassim Bouaziz; El-Mahdi El-Mhamdi; Nicolas Usunier (ICASSP, 2025)

Data Taggants: Dataset Ownership Verification Via Harmless Targeted Data Poisoning. - Wassim Bouaziz; Nicolas Usunier; El-Mahdi El-Mhamdi (ICLR, 2025)

Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights. - Mathieu Andreux; Breno Baldas Skuk; Hamza Benchekroun; Emilien Biré; Antoine Bonnet; Riaz Bordie; Nathan Bout; Matthias Brunel; Pierre-Louis Cedoz; Antoine Chassang; Mickaël Chen; Alexandra D. Constantinou; et al. (CoRR, 2025)

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning. - Wassim Bouaziz; Mathurin Videau; Nicolas Usunier; El-Mahdi El-Mhamdi (CoRR, 2025)