Nicolas Usunier

According to our database1, Nicolas Usunier authored at least 92 papers between 2005 and 2022.

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Bibliography

2022
Optimizing generalized Gini indices for fairness in rankings.
CoRR, 2022

Fairness Indicators for Systematic Assessments of Visual Feature Extractors.
CoRR, 2022

2021
Online certification of preference-based fairness for personalized recommender systems.
CoRR, 2021

Gradient Matching for Domain Generalization.
CoRR, 2021

A Self-Supervised Auxiliary Loss for Deep RL in Partially Observable Settings.
CoRR, 2021

Hierarchical Skills for Efficient Exploration.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Two-sided fairness in rankings via Lorenz dominance.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Selection of Diverse Committees.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization.
CoRR, 2020

On the Convergence of Adam and Adagrad.
CoRR, 2020

On ranking via sorting by estimated expected utility.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Growing Action Spaces.
Proceedings of the 37th International Conference on Machine Learning, 2020

Fully Parallel Hyperparameter Search: Reshaped Space-Filling.
Proceedings of the 37th International Conference on Machine Learning, 2020

Tensor Decompositions for Temporal Knowledge Base Completion.
Proceedings of the 8th International Conference on Learning Representations, 2020

End-to-End Object Detection with Transformers.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Music Source Separation in the Waveform Domain.
CoRR, 2019

Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed.
CoRR, 2019

A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Value Propagation Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

To Reverse the Gradient or Not: an Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Fully Convolutional Speech Recognition.
CoRR, 2018

High-Level Strategy Selection under Partial Observability in StarCraft: Brood War.
CoRR, 2018

Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

SING: Symbol-to-Instrument Neural Generator.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

End-to-End Speech Recognition from the Raw Waveform.
Proceedings of the Interspeech 2018, 2018

Canonical Tensor Decomposition for Knowledge Base Completion.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Filterbanks from Raw Speech for Phone Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Fader Networks: Manipulating Images by Sliding Attributes.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Parseval Networks: Improving Robustness to Adversarial Examples.
Proceedings of the 34th International Conference on Machine Learning, 2017

Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement.
Proceedings of the 5th International Conference on Learning Representations, 2017

Improving Neural Language Models with a Continuous Cache.
Proceedings of the 5th International Conference on Learning Representations, 2017

Dense and Low-Rank Gaussian CRFs Using Deep Embeddings.
Proceedings of the IEEE International Conference on Computer Vision, 2017

How should we evaluate supervised hashing?
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
An empirical comparison of V-fold penalisation and cross-validation for model selection in distribution-free regression.
Pattern Anal. Appl., 2016

Combining Two and Three-Way Embedding Models for Link Prediction in Knowledge Bases.
J. Artif. Intell. Res., 2016

Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks.
CoRR, 2016

TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games.
CoRR, 2016

Constructing and Mining Web-scale Knowledge Graphs.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

A Coverage-Based Approach to Recommendation Diversity On Similarity Graph.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Joint Learning of Speaker and Phonetic Similarities with Siamese Networks.
Proceedings of the Interspeech 2016, 2016

2015
Multiview self-learning.
Neurocomputing, 2015

Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure.
CoRR, 2015

Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases.
CoRR, 2015

Large-scale Simple Question Answering with Memory Networks.
CoRR, 2015

On Binary Reduction of Large-Scale Multiclass Classification Problems.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Composing Relationships with Translations.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Learning with Partially Labeled and Interdependent Data
Springer, ISBN: 978-3-319-15726-9, 2015

2014
Effective Blending of Two and Three-way Interactions for Modeling Multi-relational Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Open Question Answering with Weakly Supervised Embedding Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Optimizing F-Measures by Cost-Sensitive Classification.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Calibration and regret bounds for order-preserving surrogate losses in learning to rank.
Mach. Learn., 2013

Irreflexive and Hierarchical Relations as Translations
CoRR, 2013

Robust Bloom Filters for Large MultiLabel Classification Tasks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Translating Embeddings for Modeling Multi-relational Data.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012
Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

"On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking".
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Learnable Ranking Models for Automatic Text Summarization and Information Retrieval.
Proceedings of the Textual Information Access: Statistical Models, 2012

2011
Transductive learning over automatically detected themes for multi-document summarization.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Multiview Semi-supervised Learning for Ranking Multilingual Documents.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

A case study in a recommender system based on purchase data.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

WSABIE: Scaling Up to Large Vocabulary Image Annotation.
Proceedings of the IJCAI 2011, 2011

Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Large scale image annotation: learning to rank with joint word-image embeddings.
Mach. Learn., 2010

Guarantees for Approximate Incremental SVMs.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Towards Understanding Situated Natural Language.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Combining coregularization and consensus-based self-training for multilingual text categorization.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

LIP6 at INEX'10: OWPC for Ad Hoc Track.
Proceedings of the Comparative Evaluation of Focused Retrieval, 2010

Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Predicting Critical Intradomain Routing Events.
Proceedings of the Global Communications Conference, 2010

Apprentissage de fonctions d'ordonnancement par classification de paires ordonnées et pondérées (OWPC).
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2010

UPMC/LIP6 at ImageCLEFannotation 2010.
Proceedings of the CLEF 2010 LABs and Workshops, 2010

2009
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

LIP6 at INEX'09: OWPC for Ad Hoc Track.
Proceedings of the Focused Retrieval and Evaluation, 2009

Ranking with ordered weighted pairwise classification.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Improving Image Annotation in Imbalanced Classification Problems with Ranking SVM.
Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009

2008
Sequence Labelling SVMs Trained in One Pass.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Une méthode contextuelle d'extension de requête avec des groupements de mots pour le résumé automatique.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2008

2007
Learning-based summarisation of XML documents.
Inf. Retr., 2007

UHigh-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost Algorithm.
Proceedings of the TRECVID 2007 workshop participants notebook papers, 2007

Learning to Rank for Collaborative Filtering.
Proceedings of the ICEIS 2007, 2007

Filtrage Collaboratif avec un Algorithme d'Ordonnancement.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2007

2006
Résumé automatique de texte avec un algorithme d'ordonnancement.
Ingénierie des Systèmes d Inf., 2006

PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

A Selective Sampling Strategy for Label Ranking.
Proceedings of the Machine Learning: ECML 2006, 2006

Factorisation en matrices non négatives pour le filtrage collaboratif.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2006

2005
Generalization error bounds for classifiers trained with interdependent data.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Combinaison de fonctions de préférence par boosting pour la recherche de passages dans les systèmes de question/réponse.
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms.
Proceedings of the Advances in Information Retrieval, 2005

Learning to summarise XML documents using content and structure.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005


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