Usunier, Nicolas

49 publications

ICLR 2025 Data Taggants: Dataset Ownership Verification via Harmless Targeted Data Poisoning Wassim Bouaziz, Nicolas Usunier, El-Mahdi El-Mhamdi

TMLR 2025 Inverting Gradient Attacks Makes Powerful Data Poisoning Wassim Bouaziz, Nicolas Usunier, El-Mahdi El-Mhamdi

ICLRW 2025 Winter Soldier: Hypnotizing Language Models at Pre-Training with Indirect Data Poisoning Wassim Bouaziz, Mathurin Videau, Nicolas Usunier, El-Mahdi El-Mhamdi

ICLR 2023 Contextual Bandits with Concave Rewards, and an Application to Fair Ranking Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier

TMLR 2023 Leveraging Demonstrations with Latent Space Priors Jonas Gehring, Deepak Gopinath, Jungdam Won, Andreas Krause, Gabriel Synnaeve, Nicolas Usunier

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

TMLR 2022 A Simple Convergence Proof of Adam and AdaGrad Alexandre Défossez, Leon Bottou, Francis Bach, Nicolas Usunier

ICLR 2022 Gradient Matching for Domain Generalization Yuge Shi, Jeffrey Seely, Philip Torr, Siddharth N, Awni Hannun, Nicolas Usunier, Gabriel Synnaeve

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

NeurIPS 2021 Hierarchical Skills for Efficient Exploration Jonas Gehring, Gabriel Synnaeve, Andreas Krause, Nicolas Usunier

IJCAI 2021 Online Selection of Diverse Committees Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier

NeurIPS 2021 Two-Sided Fairness in Rankings via Lorenz Dominance Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier

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

ICML 2020 Fully Parallel Hyperparameter Search: Reshaped Space-Filling Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jeremy Rapin, Morgane Riviere, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier

ICML 2020 Growing Action Spaces Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve

NeurIPS 2020 On Ranking via Sorting by Estimated Expected Utility Clement Calauzenes, Nicolas Usunier

ICLR 2020 Tensor Decompositions for Temporal Knowledge Base Completion Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier

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

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

ICML 2018 Canonical Tensor Decomposition for Knowledge Base Completion Timothee Lacroix, Nicolas Usunier, Guillaume Obozinski

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

NeurIPS 2018 SING: Symbol-to-Instrument Neural Generator Alexandre Defossez, Neil Zeghidour, Nicolas Usunier, Leon Bottou, Francis Bach

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

ICLR 2017 Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala

NeurIPS 2017 Fader Networks:Manipulating Images by Sliding Attributes Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato

ICLR 2017 Improving Neural Language Models with a Continuous Cache Edouard Grave, Armand Joulin, Nicolas Usunier

ICML 2017 Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cisse, Piotr Bojanowski, Edouard Grave, Yann Dauphin, Nicolas Usunier

JAIR 2016 Combining Two and Three-Way Embedding Models for Link Prediction in Knowledge Bases Alberto García-Durán, Antoine Bordes, Nicolas Usunier, Yves Grandvalet

ECML-PKDD 2014 Effective Blending of Two and Three-Way Interactions for Modeling Multi-Relational Data Alberto García-Durán, Antoine Bordes, Nicolas Usunier

ECML-PKDD 2014 Open Question Answering with Weakly Supervised Embedding Models Antoine Bordes, Jason Weston, Nicolas Usunier

NeurIPS 2014 Optimizing F-Measures by Cost-Sensitive Classification Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet

MLJ 2013 Calibration and Regret Bounds for Order-Preserving Surrogate Losses in Learning to Rank Clément Calauzènes, Nicolas Usunier, Patrick Gallinari

NeurIPS 2013 Robust Bloom Filters for Large MultiLabel Classification Tasks Moustapha M Cisse, Nicolas Usunier, Thierry Artières, Patrick Gallinari

NeurIPS 2013 Translating Embeddings for Modeling Multi-Relational Data Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, Oksana Yakhnenko

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

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

ECML-PKDD 2011 Multiview Semi-Supervised Learning for Ranking Multilingual Documents Nicolas Usunier, Massih-Reza Amini, Cyril Goutte

IJCAI 2011 WSABIE: Scaling up to Large Vocabulary Image Annotation Jason Weston, Samy Bengio, Nicolas Usunier

AISTATS 2010 Guarantees for Approximate Incremental SVMs Nicolas Usunier, Antoine Bordes, Léon Bottou

ICML 2010 Label Ranking Under Ambiguous Supervision for Learning Semantic Correspondences Antoine Bordes, Nicolas Usunier, Jason Weston

MLJ 2010 Large Scale Image Annotation: Learning to Rank with Joint Word-Image Embeddings Jason Weston, Samy Bengio, Nicolas Usunier

AISTATS 2010 Towards Understanding Situated Natural Language Antoine Bordes, Nicolas Usunier, Ronan Collobert, Jason Weston

NeurIPS 2009 Learning from Multiple Partially Observed Views - An Application to Multilingual Text Categorization Massih R. Amini, Nicolas Usunier, Cyril Goutte

ICML 2009 Ranking with Ordered Weighted Pairwise Classification Nicolas Usunier, David Buffoni, Patrick Gallinari

NeurIPS 2008 A Transductive Bound for the Voted Classifier with an Application to Semi-Supervised Learning Massih R. Amini, Nicolas Usunier, François Laviolette

ECML-PKDD 2008 Sequence Labelling SVMs Trained in One Pass Antoine Bordes, Nicolas Usunier, Léon Bottou

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

NeurIPS 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

NeurIPS 2005 Generalization Error Bounds for Classifiers Trained with Interdependent Data Nicolas Usunier, Massih R. Amini, Patrick Gallinari