Ludovic Denoyer

According to our database1, Ludovic Denoyer authored at least 119 papers between 2003 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Spatio-temporal neural networks for space-time data modeling and relation discovery.
Knowl. Inf. Syst., 2019

Learning Dynamic Author Representations with Temporal Language Models.
CoRR, 2019

Large Memory Layers with Product Keys.
CoRR, 2019

Binary Stochastic Representations for Large Multi-class Classification.
CoRR, 2019

Unsupervised Question Answering by Cloze Translation.
CoRR, 2019

Unsupervised Object Segmentation by Redrawing.
CoRR, 2019

EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction.
CoRR, 2019

Multiple-Attribute Text Rewriting.
Proceedings of the 7th International Conference on Learning Representations, 2019

Stochastic Adaptive Neural Architecture Search for Keyword Spotting.
Proceedings of the IEEE International Conference on Acoustics, 2019

Modèle de compréhension du besoin en information pour la recherche d'information conversationnelle.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2019

Unsupervised Question Answering by Cloze Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks.
TKDD, 2018

Sequential Action Selection and Active Sensing for Budgeted Localization in Robot Navigation.
Int. J. Semantic Computing, 2018

Stochastic Adaptive Neural Architecture Search for Keyword Spotting.
CoRR, 2018

Multiple-Attribute Text Style Transfer.
CoRR, 2018

A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems.
CoRR, 2018

Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery.
CoRR, 2018

Phrase-Based & Neural Unsupervised Machine Translation.
CoRR, 2018

Budgeted Hierarchical Reinforcement Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Word translation without parallel data.
Proceedings of the 6th International Conference on Learning Representations, 2018

Unsupervised Machine Translation Using Monolingual Corpora Only.
Proceedings of the 6th International Conference on Learning Representations, 2018

Multi-View Data Generation Without View Supervision.
Proceedings of the 6th International Conference on Learning Representations, 2018

transferring style in motion capture sequences with adversarial learning.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Phrase-Based & Neural Unsupervised Machine Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems.
Proceedings of the 2nd International Workshop on Search-Oriented Conversational AI, 2018

Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Apprentissage de l'évolution langagière dans des communautés d'auteurs.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2018

2017
Multi-View Data Generation Without View Supervision.
CoRR, 2017

Unsupervised Machine Translation Using Monolingual Corpora Only.
CoRR, 2017

Word Translation Without Parallel Data.
CoRR, 2017

Learning Time-Efficient Deep Architectures with Budgeted Super Networks.
CoRR, 2017

Fader Networks: Manipulating Images by Sliding Attributes.
CoRR, 2017

A Meta-Learning Approach to One-Step Active Learning.
CoRR, 2017

A Meta-Learning Approach to One-Step Active-Learning.
Proceedings of the International Workshop on Automatic Selection, 2017

Multi-view Generative Adversarial Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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

Sequential Action Selection for Budgeted Localization in Robots.
Proceedings of the First IEEE International Conference on Robotic Computing, 2017

Binary Stochastic Representations for Large Multi-class Classification.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Options Discovery with Budgeted Reinforcement Learning.
CoRR, 2016

Sequential Cost-Sensitive Feature Acquisition.
CoRR, 2016

Multi-view Generative Adversarial Networks.
CoRR, 2016

Joint prediction of road-traffic and parking occupancy over a city with representation learning.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Sequential Cost-Sensitive Feature Acquisition.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

Recurrent Neural Networks for Adaptive Feature Acquisition.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Policy-gradient methods for Decision Trees.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux.
Document Numérique, 2015

Reinforced Decision Trees.
CoRR, 2015

Representation Learning for cold-start recommendation.
Proceedings of the 3rd International Conference on Learning Representations, 2015

WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Car-Traffic Forecasting: A Representation Learning Approach.
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux.
Proceedings of the CORIA 2015 - Conférence en Recherche d'Infomations et Applications, 2015

2014
Learning Information Spread in Content Networks.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Sequentially Generated Instance-Dependent Image Representations for Classification.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Deep Sequential Neural Network.
CoRR, 2014

Learning States Representations in POMDP.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Learning latent representations of nodes for classifying in heterogeneous social networks.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Learning social network embeddings for predicting information diffusion.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Apprentissage de représentation pour la diffusion d'Information dans les réseaux sociaux.
Proceedings of the CORIA 2014, 2014

Graph Anonymization Using Machine Learning.
Proceedings of the 28th IEEE International Conference on Advanced Information Networking and Applications, 2014

2013
Predicting Information Diffusion in Social Networks Using Content and User's Profiles.
Proceedings of the Advances in Information Retrieval, 2013

Latent Factor BlockModel for Modelling Relational Data.
Proceedings of the Advances in Information Retrieval, 2013

Classification dans les graphes hétérogènes basée sur une représentation latente des noeuds.
Proceedings of the CORIA 2013 - Conférence en Recherche d'Infomations et Applications, 2013

Choosing which message to publish on social networks: a contextual bandit approach.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Corpus-Based Structure Mapping of XML Document Corpora: A Reinforcement Learning Based Model.
Proceedings of the Modeling, 2012

Iterative Multi-label Multi-relational Classification Algorithm for complex social networks.
Social Netw. Analys. Mining, 2012

Sequential approaches for learning datum-wise sparse representations.
Machine Learning, 2012

Prédiction de liens temporels en intégrant les informations de contenu et de structure.
Ingénierie des Systèmes d'Information, 2012

Apprentissage automatique de la propagation des étiquettes dans les réseaux sociaux multirelationnels.
Document Numérique, 2012

Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks
CoRR, 2012

Modeling Relational Data via Latent Factor Blockmodel
CoRR, 2012

Fast Reinforcement Learning with Large Action Sets using Error-Correcting Output Codes for MDP Factorization
CoRR, 2012

Predicting information diffusion on social networks with partial knowledge.
Proceedings of the 21st World Wide Web Conference, 2012

Link prediction via latent factor BlockModel.
Proceedings of the 21st World Wide Web Conference, 2012

Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Probabilistic Latent Tensor Factorization model for link pattern prediction.
Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012

Lecture Séquentielle de Documents pour la Classification.
Proceedings of the CORIA (Conférence en Recherche d'Infomations et Applications), 2012

2011
Datum-Wise Classification: A Sequential Approach to Sparsity
CoRR, 2011

Text Classification: A Sequential Reading Approach
CoRR, 2011

Datum-Wise Classification: A Sequential Approach to Sparsity.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Text Classification: A Sequential Reading Approach.
Proceedings of the Advances in Information Retrieval, 2011

Apprentissage des schémas de propagation dans les multi-graphes.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2011

Classification and annotation in social corpora using multiple relations.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Temporal link prediction by integrating content and structure information.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Link Pattern Prediction with tensor decomposition in multi-relational networks.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010
Report on INEX 2009.
SIGIR Forum, 2010

A Ranking Based Model for Automatic Image Annotation in a Social Network.
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

Modèles d'Ordonnancement pour l'Annotation Automatique d'Images dans les Réseaux Sociaux.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2010

Iterative Annotation of Multi-relational Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009
Semi-Structured Document Classification.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Report on INEX 2008.
SIGIR Forum, 2009

Structured prediction with reinforcement learning.
Machine Learning, 2009

Simulated Iterative Classification A New Learning Procedure for Graph Labeling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Overview of the INEX 2009 XML Mining Track: Clustering and Classification of XML Documents.
Proceedings of the Focused Retrieval and Evaluation, 2009

UPMC/LIP6 at ImageCLEFannotation2009: Large Scale Visual Concept Detection and Annotation.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

2008
Machine Learning for Semi-structured Multimedia Documents: Application to Pornographic Filtering and Thematic Categorization.
Proceedings of the Machine Learning Techniques for Multimedia, 2008

Report on the XML mining track at INEX 2007 categorization and clustering of XML documents.
SIGIR Forum, 2008

Overview of the INEX 2008 XML Mining Track.
Proceedings of the Advances in Focused Retrieval, 2008

Applications of Reinforcement Learning to Structured Prediction.
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

Apprentissage de conversion de documents semi-structurés à partir d'exemples.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2008

2007
Report on the XML mining track at INEX 2005 and INEX 2006: categorization and clustering of XML documents.
SIGIR Forum, 2007

Modèle probabiliste pour l'extraction de structures dans les documents web.
Document Numérique, 2007

Probabilistic Model for Structured Document Mapping.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Sequence Labeling with Reinforcement Learning and Ranking Algorithms.
Proceedings of the Machine Learning: ECML 2007, 2007

Shared Corpora Working Group Report.
Proceedings of the Linguistic Annotation Workshop, 2007

2006
The Wikipedia XML corpus.
SIGIR Forum, 2006

XML Structure Mapping.
Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

Report on the XML Mining Track at INEX 2005 and INEX 2006.
Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

The Wikipedia XML Corpus.
Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

Modèle probabiliste pour l'extraction de structures dans les documents semistructurés - Application aux documents Web.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2006

2005
Restructuration automatique de documents dans les corpus semi-structurés hétérogènes.
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

Classification automatique de documents structurés. Application au corpus d'arbres étiquetés de type XML.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2005

2004
Bayesian network model for semi-structured document classification.
Inf. Process. Manage., 2004

Un modèle de mixture de modèles génératifs pour les documents structurés multimédias. Application à la classification de documents XML et HTML.
Document Numérique, 2004

2003
Using Belief Networks and Fisher Kernels for Structured Document Classification.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

A Belief Networks-Based Generative Model for Structured Documents. An Application to the XML Categorization.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003

Un modèle statistique pour la classification de documents structurés.
Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003

Structured multimedia document classification.
Proceedings of the 2003 ACM Symposium on Document Engineering, 2003


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