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2020 – today
- 2024
[c77]Arpit Agarwal
, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel:
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes. FAccT 2024: 1763-1773- [i48]Arpit Agarwal, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel:
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes. CoRR abs/2406.01611 (2024) - [i47]Wassim Bouaziz, El-Mahdi El-Mhamdi, Nicolas Usunier:
Data Taggants: Dataset Ownership Verification via Harmless Targeted Data Poisoning. CoRR abs/2410.09101 (2024) - [i46]Wassim Bouaziz, El-Mahdi El-Mhamdi, Nicolas Usunier:
Inverting Gradient Attacks Naturally Makes Data Poisons: An Availability Attack on Neural Networks. CoRR abs/2410.21453 (2024) - 2023
- [j9]Jonas Gehring, Deepak Gopinath, Jungdam Won, Andreas Krause, Gabriel Synnaeve, Nicolas Usunier:
Leveraging Demonstrations with Latent Space Priors. Trans. Mach. Learn. Res. 2023 (2023) - [c76]Alexander Peysakhovich, Christian Kroer, Nicolas Usunier:
Implementing Fairness Constraints in Markets Using Taxes and Subsidies. FAccT 2023: 916-930 - [c75]David Liu, Virginie Do, Nicolas Usunier, Maximilian Nickel:
Group fairness without demographics using social networks. FAccT 2023: 1432-1449 - [c74]Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier:
Contextual bandits with concave rewards, and an application to fair ranking. ICLR 2023 - [c73]Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier:
Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract). IJCAI 2023: 6426-6430 - [i45]Melissa Hall, Bobbie Chern, Laura Gustafson, Denisse Ventura, Harshad Kulkarni, Candace Ross, Nicolas Usunier:
Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers. CoRR abs/2302.08572 (2023) - [i44]David Liu, Virginie Do, Nicolas Usunier, Maximilian Nickel:
Group fairness without demographics using social networks. CoRR abs/2305.11361 (2023) - [i43]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, Joanna Bitton, Manish Bhatt, Cristian Canton-Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, Gabriel Synnaeve:
Code Llama: Open Foundation Models for Code. CoRR abs/2308.12950 (2023) - 2022
- [j8]Alexandre Défossez, Léon Bottou, Francis R. Bach, Nicolas Usunier:
A Simple Convergence Proof of Adam and Adagrad. Trans. Mach. Learn. Res. 2022 (2022) - [c72]Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier:
Online Certification of Preference-Based Fairness for Personalized Recommender Systems. AAAI 2022: 6532-6540 - [c71]Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier:
Fairness Indicators for Systematic Assessments of Visual Feature Extractors. FAccT 2022: 70-88 - [c70]Nicolas Usunier, Virginie Do, Elvis Dohmatob:
Fast online ranking with fairness of exposure. FAccT 2022: 2157-2167 - [c69]Yuge Shi, Jeffrey Seely, Philip H. S. Torr, Siddharth Narayanaswamy, Awni Y. Hannun, Nicolas Usunier, Gabriel Synnaeve:
Gradient Matching for Domain Generalization. ICLR 2022 - [c68]Virginie Do, Nicolas Usunier:
Optimizing Generalized Gini Indices for Fairness in Rankings. SIGIR 2022: 737-747 - [i42]Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier:
Fairness Indicators for Systematic Assessments of Visual Feature Extractors. CoRR abs/2202.07603 (2022) - [i41]Virginie Do, Nicolas Usunier:
Optimizing generalized Gini indices for fairness in rankings. CoRR abs/2204.06521 (2022) - [i40]David Lopez-Paz, Diane Bouchacourt, Levent Sagun, Nicolas Usunier:
Measuring and signing fairness as performance under multiple stakeholder distributions. CoRR abs/2207.09960 (2022) - [i39]Nicolas Usunier, Virginie Do, Elvis Dohmatob:
Fast online ranking with fairness of exposure. CoRR abs/2209.13019 (2022) - [i38]Alexander Peysakhovich, Christian Kroer, Nicolas Usunier:
Parity in Markets - Methods, Costs, and Consequences. CoRR abs/2210.02586 (2022) - [i37]Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier:
Contextual bandits with concave rewards, and an application to fair ranking. CoRR abs/2210.09957 (2022) - [i36]Jonas Gehring, Deepak Gopinath, Jungdam Won, Andreas Krause, Gabriel Synnaeve, Nicolas Usunier:
Leveraging Demonstrations with Latent Space Priors. CoRR abs/2210.14685 (2022) - 2021
- [c67]Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier:
Online Selection of Diverse Committees. IJCAI 2021: 154-160 - [c66]Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier:
Two-sided fairness in rankings via Lorenz dominance. NeurIPS 2021: 8596-8608 - [c65]Jonas Gehring, Gabriel Synnaeve, Andreas Krause, Nicolas Usunier:
Hierarchical Skills for Efficient Exploration. NeurIPS 2021: 11553-11564 - [i35]Eltayeb Ahmed, Luisa M. Zintgraf, Christian A. Schröder de Witt, Nicolas Usunier:
A Self-Supervised Auxiliary Loss for Deep RL in Partially Observable Settings. CoRR abs/2104.08492 (2021) - [i34]Yuge Shi, Jeffrey Seely, Philip H. S. Torr, N. Siddharth, Awni Y. Hannun, Nicolas Usunier, Gabriel Synnaeve:
Gradient Matching for Domain Generalization. CoRR abs/2104.09937 (2021) - [i33]Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier:
Online certification of preference-based fairness for personalized recommender systems. CoRR abs/2104.14527 (2021) - [i32]Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier:
Online Selection of Diverse Committees. CoRR abs/2105.09295 (2021) - [i31]Jonas Gehring, Gabriel Synnaeve, Andreas Krause, Nicolas Usunier:
Hierarchical Skills for Efficient Exploration. CoRR abs/2110.10809 (2021) - [i30]Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier:
Two-sided fairness in rankings via Lorenz dominance. CoRR abs/2110.15781 (2021) - 2020
- [c64]Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko:
End-to-End Object Detection with Transformers. ECCV (1) 2020: 213-229 - [c63]Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier:
Tensor Decompositions for Temporal Knowledge Base Completion. ICLR 2020 - [c62]Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier:
Fully Parallel Hyperparameter Search: Reshaped Space-Filling. ICML 2020: 1338-1348 - [c61]Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve:
Growing Action Spaces. ICML 2020: 3040-3051 - [c60]Clément Calauzènes, Nicolas Usunier:
On ranking via sorting by estimated expected utility. NeurIPS 2020 - [i29]Alexandre Défossez, Léon Bottou, Francis R. Bach, Nicolas Usunier:
On the Convergence of Adam and Adagrad. CoRR abs/2003.02395 (2020) - [i28]Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier:
Tensor Decompositions for temporal knowledge base completion. CoRR abs/2004.04926 (2020) - [i27]Pierre-Alexandre Kamienny, Matteo Pirotta, Alessandro Lazaric, Thibault Lavril, Nicolas Usunier, Ludovic Denoyer:
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization. CoRR abs/2005.02934 (2020) - [i26]Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko:
End-to-End Object Detection with Transformers. CoRR abs/2005.12872 (2020)
2010 – 2019
- 2019
- [c59]Yossi Adi, Neil Zeghidour, Ronan Collobert, Nicolas Usunier, Vitaliy Liptchinsky, Gabriel Synnaeve:
To Reverse the Gradient or Not: an Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. ICASSP 2019: 3742-3746 - [c58]Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier:
Value Propagation Networks. ICLR (Poster) 2019 - [c57]Nicolas Carion, Nicolas Usunier, Gabriel Synnaeve, Alessandro Lazaric:
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning. NeurIPS 2019: 8128-8138 - [i25]Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve:
Growing Action Spaces. CoRR abs/1906.12266 (2019) - [i24]Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach:
Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed. CoRR abs/1909.01174 (2019) - [i23]Nicolas Carion, Gabriel Synnaeve, Alessandro Lazaric, Nicolas Usunier:
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning. CoRR abs/1910.08809 (2019) - [i22]Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach:
Music Source Separation in the Waveform Domain. CoRR abs/1911.13254 (2019) - 2018
- [c56]Neil Zeghidour, Nicolas Usunier, Iasonas Kokkinos, Thomas Schatz, Gabriel Synnaeve, Emmanuel Dupoux:
Learning Filterbanks from Raw Speech for Phone Recognition. ICASSP 2018: 5509-5513 - [c55]Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski:
Canonical Tensor Decomposition for Knowledge Base Completion. ICML 2018: 2869-2878 - [c54]Neil Zeghidour, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert, Emmanuel Dupoux:
End-to-End Speech Recognition from the Raw Waveform. INTERSPEECH 2018: 781-785 - [c53]Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, Francis R. Bach:
SING: Symbol-to-Instrument Neural Generator. NeurIPS 2018: 9055-9065 - [c52]Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Daniel Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier:
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger. NeurIPS 2018: 10761-10771 - [i21]Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier:
Value Propagation Networks. CoRR abs/1805.11199 (2018) - [i20]Neil Zeghidour, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert, Emmanuel Dupoux:
End-to-End Speech Recognition From the Raw Waveform. CoRR abs/1806.07098 (2018) - [i19]Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski:
Canonical Tensor Decomposition for Knowledge Base Completion. CoRR abs/1806.07297 (2018) - [i18]Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, Francis R. Bach:
SING: Symbol-to-Instrument Neural Generator. CoRR abs/1810.09785 (2018) - [i17]Jonas Gehring, Da Ju, Vegard Mella, Daniel Gant, Nicolas Usunier, Gabriel Synnaeve:
High-Level Strategy Selection under Partial Observability in StarCraft: Brood War. CoRR abs/1811.08568 (2018) - [i16]Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Daniel Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier:
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger. CoRR abs/1812.00054 (2018) - [i15]Yossi Adi, Neil Zeghidour, Ronan Collobert, Nicolas Usunier, Vitaliy Liptchinsky, Gabriel Synnaeve:
To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. CoRR abs/1812.03483 (2018) - [i14]Neil Zeghidour, Qiantong Xu, Vitaliy Liptchinsky, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert:
Fully Convolutional Speech Recognition. CoRR abs/1812.06864 (2018) - 2017
- [c51]Alexandre Sablayrolles, Matthijs Douze, Nicolas Usunier, Hervé Jégou:
How should we evaluate supervised hashing? ICASSP 2017: 1732-1736 - [c50]Siddhartha Chandra, Nicolas Usunier, Iasonas Kokkinos:
Dense and Low-Rank Gaussian CRFs Using Deep Embeddings. ICCV 2017: 5113-5122 - [c49]Edouard Grave, Armand Joulin, Nicolas Usunier:
Improving Neural Language Models with a Continuous Cache. ICLR (Poster) 2017 - [c48]Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala:
Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement. ICLR (Poster) 2017 - [c47]Moustapha Cissé, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier:
Parseval Networks: Improving Robustness to Adversarial Examples. ICML 2017: 854-863 - [c46]Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato:
Fader Networks: Manipulating Images by Sliding Attributes. NIPS 2017: 5967-5976 - [i13]Moustapha Cissé, Piotr Bojanowski, Edouard Grave, Yann N. Dauphin, Nicolas Usunier:
Parseval Networks: Improving Robustness to Adversarial Examples. CoRR abs/1704.08847 (2017) - [i12]Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato:
Fader Networks: Manipulating Images by Sliding Attributes. CoRR abs/1706.00409 (2017) - [i11]Neil Zeghidour, Nicolas Usunier, Iasonas Kokkinos, Thomas Schatz, Gabriel Synnaeve, Emmanuel Dupoux:
Learning Filterbanks from Raw Speech for Phone Recognition. CoRR abs/1711.01161 (2017) - 2016
- [j7]Alberto García-Durán, Antoine Bordes, Nicolas Usunier, Yves Grandvalet:
Combining Two and Three-Way Embedding Models for Link Prediction in Knowledge Bases. J. Artif. Intell. Res. 55: 715-742 (2016) - [j6]Charanpal Dhanjal, Nicolas Baskiotis, Stéphan Clémençon, Nicolas Usunier:
An empirical comparison of V-fold penalisation and cross-validation for model selection in distribution-free regression. Pattern Anal. Appl. 19(1): 41-53 (2016) - [c45]Neil Zeghidour, Gabriel Synnaeve, Nicolas Usunier, Emmanuel Dupoux:
Joint Learning of Speaker and Phonetic Similarities with Siamese Networks. INTERSPEECH 2016: 1295-1299 - [c44]Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet:
A Coverage-Based Approach to Recommendation Diversity On Similarity Graph. RecSys 2016: 15-22 - [c43]Evgeniy Gabrilovich, Nicolas Usunier:
Constructing and Mining Web-scale Knowledge Graphs. SIGIR 2016: 1195-1197 - [i10]Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala:
Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks. CoRR abs/1609.02993 (2016) - [i9]Alexandre Sablayrolles, Matthijs Douze, Hervé Jégou, Nicolas Usunier:
How should we evaluate supervised hashing? CoRR abs/1609.06753 (2016) - [i8]Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat, Soumith Chintala, Timothée Lacroix, Zeming Lin, Florian Richoux, Nicolas Usunier:
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games. CoRR abs/1611.00625 (2016) - [i7]Edouard Grave, Armand Joulin, Nicolas Usunier:
Improving Neural Language Models with a Continuous Cache. CoRR abs/1612.04426 (2016) - 2015
- [b1]Massih-Reza Amini, Nicolas Usunier:
Learning with Partially Labeled and Interdependent Data. Springer 2015, ISBN 978-3-319-15725-2, pp. 1-97 - [j5]Ali Fakeri-Tabrizi, Massih-Reza Amini, Cyril Goutte, Nicolas Usunier:
Multiview self-learning. Neurocomputing 155: 117-127 (2015) - [c42]Alberto García-Durán, Antoine Bordes, Nicolas Usunier:
Composing Relationships with Translations. EMNLP 2015: 286-290 - [c41]Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Liva Ralaivola, Nicolas Usunier, Éric Gaussier:
On Binary Reduction of Large-Scale Multiclass Classification Problems. IDA 2015: 132-144 - [i6]Shameem Ahamed Puthiya Parambath, Nicolas Usunier, Yves Grandvalet:
Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure. CoRR abs/1505.00199 (2015) - [i5]Alberto García-Durán, Antoine Bordes, Nicolas Usunier, Yves Grandvalet:
Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases. CoRR abs/1506.00999 (2015) - [i4]Antoine Bordes, Nicolas Usunier, Sumit Chopra, Jason Weston:
Large-scale Simple Question Answering with Memory Networks. CoRR abs/1506.02075 (2015) - 2014
- [c40]Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet:
Optimizing F-Measures by Cost-Sensitive Classification. NIPS 2014: 2123-2131 - [c39]Antoine Bordes, Jason Weston, Nicolas Usunier:
Open Question Answering with Weakly Supervised Embedding Models. ECML/PKDD (1) 2014: 165-180 - [c38]Alberto García-Durán, Antoine Bordes, Nicolas Usunier:
Effective Blending of Two and Three-way Interactions for Modeling Multi-relational Data. ECML/PKDD (1) 2014: 434-449 - [i3]Antoine Bordes, Jason Weston, Nicolas Usunier:
Open Question Answering with Weakly Supervised Embedding Models. CoRR abs/1404.4326 (2014) - 2013
- [j4]Clément Calauzènes, Nicolas Usunier, Patrick Gallinari:
Calibration and regret bounds for order-preserving surrogate losses in learning to rank. Mach. Learn. 93(2-3): 227-260 (2013) - [c37]Jason Weston, Antoine Bordes, Oksana Yakhnenko, Nicolas Usunier:
Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction. EMNLP 2013: 1366-1371 - [c36]Moustapha Cissé, Nicolas Usunier, Thierry Artières, Patrick Gallinari:
Robust Bloom Filters for Large MultiLabel Classification Tasks. NIPS 2013: 1851-1859 - [c35]Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, Oksana Yakhnenko:
Translating Embeddings for Modeling Multi-relational Data. NIPS 2013: 2787-2795 - [i2]Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, Oksana Yakhnenko:
Irreflexive and Hierarchical Relations as Translations. CoRR abs/1304.7158 (2013) - [i1]Jason Weston, Antoine Bordes, Oksana Yakhnenko, Nicolas Usunier:
Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction. CoRR abs/1307.7973 (2013) - 2012
- [c34]Clément Calauzènes, Nicolas Usunier, Patrick Gallinari:
"On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking". NIPS 2012: 197-205 - [c33]Bruno Pradel, Nicolas Usunier, Patrick Gallinari:
Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics. RecSys 2012: 147-154 - [p1]Massih-Reza Amini, David Buffoni, Patrick Gallinari, Tuong-Vinh Truong, Nicolas Usunier:
Learnable Ranking Models for Automatic Text Summarization and Information Retrieval. Textual Information Access: Statistical Models 2012: 33-58 - 2011
- [c32]David Buffoni, Clément Calauzènes, Patrick Gallinari, Nicolas Usunier:
Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision. ICML 2011: 825-832 - [c31]Jason Weston, Samy Bengio, Nicolas Usunier:
WSABIE: Scaling Up to Large Vocabulary Image Annotation. IJCAI 2011: 2764-2770 - [c30]Bruno Pradel, Savaneary Sean, Julien Delporte, Sébastien Guérif, Céline Rouveirol, Nicolas Usunier, Françoise Fogelman-Soulié, Frédéric Dufau-Joël:
A case study in a recommender system based on purchase data. KDD 2011: 377-385 - [c29]Nicolas Usunier, Massih-Reza Amini, Cyril Goutte:
Multiview Semi-supervised Learning for Ranking Multilingual Documents. ECML/PKDD (3) 2011: 443-458 - [c28]Massih-Reza Amini, Nicolas Usunier:
Transductive learning over automatically detected themes for multi-document summarization. SIGIR 2011: 1193-1194 - 2010
- [j3]Jason Weston, Samy Bengio, Nicolas Usunier:
Large scale image annotation: learning to rank with joint word-image embeddings. Mach. Learn. 81(1): 21-35 (2010) - [c27]Ali Fakeri-Tabrizi, Sabrina Tollari, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
UPMC/LIP6 at ImageCLEFannotation 2010. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c26]David Buffoni, Nicolas Usunier, Patrick Gallinari:
Apprentissage de fonctions d'ordonnancement par classification de paires ordonnées et pondérées (OWPC). CORIA 2010: 67-82 - [c25]Amelie Medem Kuatse, Renata Teixeira, Nicolas Usunier:
Predicting Critical Intradomain Routing Events. GLOBECOM 2010: 1-5 - [c24]Antoine Bordes, Nicolas Usunier, Jason Weston:
Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences. ICML 2010: 103-110 - [c23]David Buffoni, Nicolas Usunier, Patrick Gallinari:
LIP6 at INEX'10: OWPC for Ad Hoc Track. INEX 2010: 54-62 - [c22]Massih-Reza Amini, Cyril Goutte, Nicolas Usunier:
Combining coregularization and consensus-based self-training for multilingual text categorization. SIGIR 2010: 475-482 - [c21]Antoine Bordes, Nicolas Usunier, Ronan Collobert, Jason Weston:
Towards Understanding Situated Natural Language. AISTATS 2010: 65-72 - [c20]Nicolas Usunier, Antoine Bordes, Léon Bottou:
Guarantees for Approximate Incremental SVMs. AISTATS 2010: 884-891
2000 – 2009
- 2009
- [c19]Ali Fakeri-Tabrizi, Sabrina Tollari, Nicolas Usunier, Patrick Gallinari:
Improving Image Annotation in Imbalanced Classification Problems with Ranking SVM. CLEF (2) 2009: 291-294 - [c18]Nicolas Usunier, David Buffoni, Patrick Gallinari:
Ranking with ordered weighted pairwise classification. ICML 2009: 1057-1064 - [c17]David Buffoni, Nicolas Usunier, Patrick Gallinari:
LIP6 at INEX'09: OWPC for Ad Hoc Track. INEX 2009: 59-69 - [c16]Massih-Reza Amini, Nicolas Usunier, Cyril Goutte:
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization. NIPS 2009: 28-36 - [c15]Massih-Reza Amini, Nicolas Usunier:
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization. SIGIR 2009: 704-705 - 2008
- [c14]Jean-François Pessiot, Young-Min Kim, Massih-Reza Amini, Nicolas Usunier, Patrick Gallinari:
Une méthode contextuelle d'extension de requête avec des groupements de mots pour le résumé automatique. CORIA 2008: 289-304 - [c13]Massih-Reza Amini, François Laviolette, Nicolas Usunier:
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning. NIPS 2008: 65-72 - [c12]Antoine Bordes, Nicolas Usunier, Léon Bottou:
Sequence Labelling SVMs Trained in One Pass. ECML/PKDD (1) 2008: 146-161 - 2007
- [j2]Massih-Reza Amini, Anastasios Tombros, Nicolas Usunier, Mounia Lalmas:
Learning-based summarisation of XML documents. Inf. Retr. 10(3): 233-255 (2007) - [c11]Jean-François Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Filtrage Collaboratif avec un Algorithme d'Ordonnancement. CORIA 2007: 165-180 - [c10]Jean-François Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Learning to Rank for Collaborative Filtering. ICEIS (2) 2007: 145-151 - [c9]Christophe Marsala, Marcin Detyniecki, Nicolas Usunier, Massih-Reza Amini:
UHigh-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost Algorithm. TRECVID 2007 - 2006
- [j1]Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Résumé automatique de texte avec un algorithme d'ordonnancement. Ingénierie des Systèmes d Inf. 11(2): 71-91 (2006) - [c8]Jean-François Pessiot, Tuong-Vinh Truong, Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Factorisation en matrices non négatives pour le filtrage collaboratif. CORIA 2006: 315-326 - [c7]Massih-Reza Amini, Nicolas Usunier, François Laviolette, Alexandre Lacasse, Patrick Gallinari:
A Selective Sampling Strategy for Label Ranking. ECML 2006: 18-29 - [c6]Alexandre Lacasse, François Laviolette, Mario Marchand, Pascal Germain, Nicolas Usunier:
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier. NIPS 2006: 769-776 - 2005
- [c5]Massih-Reza Amini, Anastasios Tombros, Nicolas Usunier, Mounia Lalmas, Patrick Gallinari:
Learning to summarise XML documents using content and structure. CIKM 2005: 297-298 - [c4]Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Résumé automatique de texte avec un algorithme d'ordonnancement. CORIA 2005: 25-40 - [c3]Massih-Reza Amini, Nicolas Usunier, Patrick Gallinari:
Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms. ECIR 2005: 142-156 - [c2]Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Combinaison de fonctions de préférence par boosting pour la recherche de passages dans les systèmes de question/réponse. EGC 2005: 1-6 - [c1]Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari:
Generalization error bounds for classifiers trained with interdependent data. NIPS 2005: 1369-1376
Coauthor Index
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to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-01 01:07 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
