Publications

408 documents

Article dans une revue66 documents

Thomas Gerald, Hadi Zaatiti, Hatem Hajri, Nicolas Baskiotis, Olivier Schwander. A hyperbolic approach for learning communities on graphs. Data Mining and Knowledge Discovery, 2023, ⟨10.1007/s10618-022-00902-8⟩. ⟨hal-04022426⟩
Yuan Yin, Vincent Le Guen, Jérémie Donà, Emmanuel de Bézenac, Ibrahim Ayed, et al.. Augmenting physical models with deep networks for complex dynamics forecasting. Journal of Statistical Mechanics: Theory and Experiment, 2021, 2021 (12), pp.124012. ⟨10.1088/1742-5468/ac3ae5⟩. ⟨hal-03508401v2⟩
Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach. Unsupervised domain adaptation with non-stochastic missing data. Data Mining and Knowledge Discovery, 2021, 35 (6), pp.2714-2755. ⟨10.1007/s10618-021-00775-3⟩. ⟨hal-03338879v2⟩
Clément Rebuffel, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, et al.. Controlling hallucinations at word level in data-to-text generation. Data Mining and Knowledge Discovery, 2021, ⟨10.1007/s10618-021-00801-4⟩. ⟨hal-03479792⟩
Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer. Deep dynamic neural networks for temporal language modeling in author communities. Knowledge and Information Systems (KAIS), 2021, 63 (3), pp.733-757. ⟨10.1007/s10115-020-01539-z⟩. ⟨hal-03923295⟩
Giovanni Bonetta, Marco Roberti, Rossella Cancelliere, Patrick Gallinari. The Rare Word Issue in Natural Language Generation: A Character-Based Solution. Informatics, 2021, 8 (1), pp.20. ⟨10.3390/informatics8010020⟩. ⟨hal-03184301⟩
Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, et al.. Confidence Estimation via Auxiliary Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, In press, pp.1-1. ⟨10.1109/TPAMI.2021.3085983⟩. ⟨hal-03252079⟩
Nina Miolane, Nicolas Guigui, Alice Le Brigant, Johan Mathe, Benjamin Hou, et al.. Geomstats: A Python Package for Riemannian Geometry in Machine Learning. Journal of Machine Learning Research, 2020, 21 (223), pp.1-9. ⟨hal-02536154v2⟩
Yifu Chen, Arnaud Dapogny, Matthieu Cord. SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss. Pattern Recognition, 2020, 108, pp.107557. ⟨10.1016/j.patcog.2020.107557⟩. ⟨hal-03015764⟩
Thi Phuong Thao Tran, Ahlame Douzal-Chouakria, Saeed Varasteh Yazdi, Paul Honeine, Patrick Gallinari. Interpretable time series kernel analytics by pre-image estimation. Artificial Intelligence, 2020, 286, pp.103342. ⟨10.1016/j.artint.2020.103342⟩. ⟨hal-03088295⟩
Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki. Achieving Fairness with Decision Trees: An Adversarial Approach. Data Science and Engineering, 2020, 5 (2), pp.99-110. ⟨10.1007/s41019-020-00124-2⟩. ⟨hal-03923322⟩
Evangelos Moschos, Alexandre Stegner, Olivier Schwander, Patrick Gallinari. Classification of Eddy Sea Surface Temperature Signatures Under Cloud Coverage. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13, pp.3437-3447. ⟨10.1109/JSTARS.2020.3001830⟩. ⟨hal-03028674⟩
Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, et al.. Kymatio: Scattering Transforms in Python. Journal of Machine Learning Research, 2020, 21 (60), pp.1-6. ⟨hal-02945354⟩
Edouard Delasalles, Ali Ziat, Ludovic Denoyer, Patrick Gallinari. Spatio-temporal neural networks for space-time data modeling and relation discovery. Knowledge and Information Systems (KAIS), 2019, 61 (3), pp.1241-1267. ⟨10.1007/s10115-018-1291-x⟩. ⟨hal-02336358⟩
Yu Zhao, Huali Feng, Patrick Gallinari. Embedding Learning with Triple Trustiness on Noisy Knowledge Graph. Entropy, 2019, 21 (11), pp.1083. ⟨10.3390/e21111083⟩. ⟨hal-02430754⟩
Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari. Contextual Bandits with Hidden Contexts: a Focused Data Capture From Social Media Streams. Data Mining and Knowledge Discovery, 2019, 33, pp.1853-1893. ⟨10.1007/s10618-019-00648-w⟩. ⟨hal-02505162⟩
Lynda Tamine, Laure Soulier, Gia-Hung Nguyen, Nathalie Souf. Offline versus Online Representation Learning of Documents Using External Knowledge. ACM Transactions on Information Systems, 2019, 37 (4), pp.42:1 - 42:34. ⟨10.1145/3349527⟩. ⟨hal-02304815⟩
Anjan Dutta, Hichem Sahbi. Stochastic Graphlet Embedding. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30 (8), pp.2369-2382. ⟨10.1109/TNNLS.2018.2884700⟩. ⟨hal-02277646⟩
Thibaut Durand, Nicolas Thome, Matthieu Cord. Exploiting Negative Evidence for Deep Latent Structured Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, 41 (2), pp.337-351. ⟨10.1109/TPAMI.2017.2788435⟩. ⟨hal-01969819⟩
Patrice Bellot, Linda Cappellato, Nicola Ferro, Josiane Mothe, Fionn Murtagh, et al.. CONFERENCE REPORT - Report on CLEF 2018: Experimental IR Meets Multilinguality, Multimodality, and Interaction. Sigir Forum, 2019, 52 (2), pp.72-82. ⟨10.1145/3308774.3308785⟩. ⟨hal-02442736⟩
Charles-Emmanuel Dias, Clara Gainon de Forsan De Gabriac, Vincent Guigue, Patrick Gallinari. RNN & modèle d’attention pour l’apprentissage de profils textuels personnalisés. Document numérique - Revue des sciences et technologies de l'information. Série Document numérique, 2019, 22 (3), pp.9-27. ⟨10.3166/dn.22.3.9-27⟩. ⟨hal-02503470⟩
Mingyuan Jiu, Hichem Sahbi. Deep representation design from deep kernel networks. Pattern Recognition, 2019, 88, pp.447-457. ⟨10.1016/j.patcog.2018.12.005⟩. ⟨hal-02325793⟩
Michael Blot, David Picard, Nicolas Thome, Matthieu Cord. Distributed Optimization for Deep Learning with Gossip Exchange. Neurocomputing, 2019, 330, pp.287-296. ⟨10.1016/j.neucom.2018.11.002⟩. ⟨hal-01930346⟩
Thibaut Durand, Nicolas Thome, Matthieu Cord. SyMIL: MinMax Latent SVM for Weakly Labeled Data. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29 (12), pp.6099-6112. ⟨10.1109/TNNLS.2018.2820055⟩. ⟨hal-01972163⟩
Marion Chevalier, Nicolas Thome, Gilles Henaff, Matthieu Cord. Classifying low-resolution images by integrating privileged information in deep CNNs. Pattern Recognition Letters, 2018, 116, pp.29-35. ⟨10.1016/j.patrec.2018.09.007⟩. ⟨hal-02470742⟩
Thierry Artières, Qi Wang, Mickaël Chen, Ludovic Denoyer. Adversarial learning for modeling human motion. The Visual Computer, 2018, pp.1-20. ⟨10.1007/s00371-018-1594-7⟩. ⟨hal-01874144⟩
Ludovic dos Santos, Benjamin Piwowarski, Ludovic Denoyer, Patrick Gallinari. Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks. ACM Transactions on Knowledge Discovery from Data (TKDD), 2018, 12 (5), pp.1 - 33. ⟨10.1145/3201603⟩. ⟨hal-01853928⟩
Taylor Mordan, Nicolas Thome, Gilles Henaff, Matthieu Cord. End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection. International Journal of Computer Vision, 2018, ⟨10.1007/s11263-018-1109-z⟩. ⟨hal-01842031⟩
Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari. Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework. Neurocomputing, 2018, 298, pp.109-121. ⟨10.1016/j.neucom.2017.12.067⟩. ⟨hal-02503474⟩
Nassim Aklil, Benoît Girard, Ludovic Denoyer, Mehdi Khamassi. Sequential Action Selection and Active Sensing for Budgeted Localization in Robot Navigation. International Journal of Semantic Computing, 2018, 12 (01), pp.109-127. ⟨10.1142/S1793351X18400068⟩. ⟨hal-02324047⟩
Alejandro Lopez-Rincon, Alberto Tonda, Mohamed Elati, Olivier Schwander, Benjamin Piwowarski, et al.. Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification. Applied Soft Computing, 2018, 65, pp.91 - 100. ⟨10.1016/j.asoc.2017.12.036⟩. ⟨hal-01700622⟩
Tristan Postadjian, Arnaud Le Bris, Hichem Sahbi, Clément Mallet. Classification à très large échelle d'images satellite à très haute résolution spatiale par réseaux de neurones convolutifs. Revue Française de Photogrammétrie et de Télédétection, 2018, colloque CFPT 2018, 217-218 (n° spécial), pp.73-86. ⟨10.52638/rfpt.2018.418⟩. ⟨hal-02325820⟩
Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari. Profile-Based Bandit with Unknown Profiles. Journal of Machine Learning Research, 2018, 19 (53), pp.53:1--53:40. ⟨hal-02074907⟩
Patrick Gallinari, Yvon Maday, Maxime Sangnier, Olivier Schwander, Tommaso Taddei. Reduced Basis’ Acquisition by a Learning Process for Rapid On-line Approximation of Solution to PDE’s: Laminar Flow Past a Backstep. Archives of Computational Methods in Engineering, 2018, 25 (1), pp.131-141. ⟨10.1007/s11831-017-9238-z⟩. ⟨hal-03907048⟩
Wenjie Zheng, Aurélien Bellet, Patrick Gallinari. A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm. Machine Learning, 2018, ⟨10.1007/s10994-018-5713-5⟩. ⟨hal-01922994⟩
Xin Wang, Nicolas Thome, Matthieu Cord. Gaze Latent Support Vector Machine for Image Classification Improved by Weakly Supervised Region Selection. Pattern Recognition, 2017, 72, pp.59-71. ⟨10.1016/j.patcog.2017.07.001⟩. ⟨hal-01557368⟩
Lin Qiu, Sheng Gao, Qinjie Lyu, Jun Guo, Patrick Gallinari. A novel non-Gaussian embedding based model for recommender systems. Neurocomputing, 2017, ⟨10.1016/j.neucom.2017.05.100⟩. ⟨hal-01611952⟩
Jianfei Zhang, Shengrui Wang, Lifei Chen, Patrick Gallinari. Multiple Bayesian discriminant functions for high-dimensional massive data classification. Data Mining and Knowledge Discovery, 2017, 31 (2), pp.465--501. ⟨10.1007/s10618-016-0481-y⟩. ⟨hal-01549570⟩
Laure Soulier, Lynda Tamine. On the collaboration support in Information Retrieval. ACM Computing Surveys, 2017. ⟨hal-01517104⟩
Marc T. Law, Nicolas Thome, Matthieu Cord. Learning a Distance Metric from Relative Comparisons between Quadruplets of Images. International Journal of Computer Vision, 2016, pp.1-30. ⟨10.1007/s11263-016-0923-4⟩. ⟨hal-01346190⟩
Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo. A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base. Computación y sistemas, 2016, 20 (3), pp.459-466. ⟨hal-01524735⟩
Luca Rubini, Rossella Cancelliere, Patrick Gallinari, Andrea Grosso. Local search and pseudoinversion: an hybrid approach to neural network training. Knowl. Inf. Syst., 2016, 48 (2), pp.493--503. ⟨10.1007/s10115-016-0935-y⟩. ⟨hal-01524736⟩
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 Analysis and Applications, 2016, 19 (1), pp.41-53. ⟨10.1007/s10044-014-0381-y⟩. ⟨hal-01567869⟩
Sylvain Lamprier, Simon Bourigault, Patrick Gallinari. Influence learning for cascade diffusion models: focus on partial orders of infections. Social Network Analysis and Mining, 2016, 6 (1), pp.93. ⟨10.1007/s13278-016-0406-1⟩. ⟨hal-01393489⟩
Laure Soulier, Lynda Tamine, Chirag Shah. MineRank: Leveraging users’ latent roles for unsupervised collaborative information retrieval. Information Processing and Management, 2016, 52 (6), pp.1122-1141. ⟨10.1016/j.ipm.2016.05.002⟩. ⟨hal-01353589⟩
Roxana Horincar, Bernd Amann, Thierry Artières. Online refresh strategies for content based feed aggregation. World Wide Web, 2015, 18 (4), pp.913-947. ⟨10.1007/s11280-014-0288-y⟩. ⟨hal-01185362⟩
Ali Fakeri-Tabrizi, Massih-Reza Amini, Cyril Goutte, Nicolas Usunier. Multiview self-learning. Neurocomputing, 2015, 155, pp.117-127. ⟨10.1016/j.neucom.2014.12.041⟩. ⟨hal-01211216⟩
George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas, Matthias Zschunke, et al.. An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. BMC Bioinformatics, 2015, 16 (1), pp.138. ⟨10.1186/s12859-015-0564-6⟩. ⟨hal-01156600⟩
Sylvain Lamprier, Nicolas Baskiotis, Tewfik Ziadi, Lom Messan Hillah. The CARE Platform for the Analysis of Behavior Model Inference Techniques. Information and Software Technology, 2015, 60, pp.32-50. ⟨10.1016/j.infsof.2014.12.004⟩. ⟨hal-01176438⟩
Rossella Cancelliere, Mario Gai, Patrick Gallinari, Luca Rubini. OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training. Neural Networks, 2015, 71, pp.76--87. ⟨10.1016/j.neunet.2015.07.015⟩. ⟨hal-01524737⟩
Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier. Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux. Document numérique - Revue des sciences et technologies de l'information. Série Document numérique, 2015, 18 (2-3), pp.39--58. ⟨10.3166/dn.18.2-3.39-58⟩. ⟨hal-01357959⟩
Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo. Knowledge base completion by learning pairwise-interaction differentiated embeddings. Data Min. Knowl. Discov., 2015, 29 (5), pp.1486--1504. ⟨10.1007/s10618-015-0430-1⟩. ⟨hal-01524738⟩
Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim. Learning Deep Hierarchical Visual Feature Coding. IEEE Transactions on Neural Networks and Learning Systems, 2014, 25 (12), pp.2212-2225. ⟨10.1109/TNNLS.2014.2307532⟩. ⟨hal-01185465⟩
Christian Theriault, Nicolas Thome, Matthieu Cord, Patrick Pérez. Perceptual principles for video classification with Slow Feature Analysis. IEEE Journal of Selected Topics in Signal Processing, 2014, 8 (3), pp.428-437. ⟨10.1109/JSTSP.2014.2315742⟩. ⟨hal-01185462⟩
Charanpal Dhanjal, Romaric Gaudel, Stéphan Clémençon. Efficient Eigen-updating for Spectral Graph Clustering. Neurocomputing, 2014, 131, pp.440-452. ⟨10.1016/j.neucom.2013.11.015⟩. ⟨hal-00770889v4⟩
Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi. SnooperText: A Text Detection System for Automatic Indexing of Urban Scenes. Computer Vision and Image Understanding, 2014, 122, pp.92-104. ⟨10.1016/j.cviu.2013.10.004⟩. ⟨hal-01185469⟩
Corina Iovan, Paul-Henry Cournède, Thomas Guyard, Benoît Bayol, Dider Boldo, et al.. Model-Based Analysis-Synthesis for Realistic Tree Reconstruction and Growth Simulation. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52 (2), pp.1438-1450. ⟨10.1109/TGRS.2013.2251467⟩. ⟨hal-00826023⟩
Mathieu Radenen, Thierry Artières. Handling signal variability with contextual markovian models. Pattern Recognition Letters, 2014, 35, pp.236-245. ⟨10.1016/j.patrec.2013.08.015⟩. ⟨hal-01185459⟩
Clément Calauzènes, Nicolas Usunier, Patrick Gallinari. Calibration and regret bounds for order-preserving surrogate losses in learning to rank. Machine Learning, 2013, 93 (2-3), pp.227-260. ⟨10.1007/s10994-013-5382-3⟩. ⟨hal-00834230⟩
Sandra Avila, Nicolas Thome, Matthieu Cord, Eduardo Valle, Arnaldo de Albuquerque Araújo. Pooling in Image Representation: the Visual Codeword Point of View. Computer Vision and Image Understanding, 2013, 117 (5), pp.453-465. ⟨10.1016/j.cviu.2012.09.007⟩. ⟨hal-01172709⟩
David Picard, Nicolas Thome, Matthieu Cord. JKernelMachines: A Simple Framework for Kernel Machines. Journal of Machine Learning Research, 2013, 14, pp.1417-1421. ⟨hal-00832030⟩
Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi. T-HOG: an Effective Gradient-Based Descriptor for Single Line Text Regions. Pattern Recognition, 2013, 46 (3), pp.1078-1090. ⟨10.1016/j.patcog.2012.10.009⟩. ⟨hal-01185468⟩
Stefania Rubrichi, Silvana Quaglini, Alexander Spengler, Paola Russo, Patrick Gallinari. A system for the extraction and representation of summary of product characteristics content. Artificial Intelligence in Medicine, 2013, 57 (2), pp.145-154. ⟨10.1016/j.artmed.2012.08.004⟩. ⟨hal-01185460⟩
Christian Theriault, Nicolas Thome, Matthieu Cord. Extended Coding and Pooling in the HMAX Model. IEEE Transactions on Image Processing, 2013, 22 (2), pp.764-777. ⟨10.1109/TIP.2012.2222900⟩. ⟨hal-01185467⟩
Jonathan Fabrizio, Beatriz Marcotegui, Matthieu Cord. Text detection in street level images. Pattern Analysis and Applications, 2013, 16 (4), pp.519-533. ⟨10.1007/s10044-013-0329-7⟩. ⟨hal-00906841⟩
Sheng Gao, Ludovic Denoyer, Patrick Gallinari, Jun Guo. Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks. The Journal of China Universities of Posts and Telecommunications, 2012, 19 (2), pp.172-181. ⟨10.1016/S1005-8885(11)60425-1⟩. ⟨hal-01185466⟩

Communication dans un congrès259 documents

Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari. LEADS: Learning Dynamical Systems that Generalize Across Environments. The Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS 2021), Dec 2021, Online, Unknown Region. ⟨hal-03261055v2⟩
Thomas Scialom, Paul-Alexis Dray, Jacopo Staiano, Sylvain Lamprier, Benjamin Piwowarski. To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs. Advances in Neural Information Processing Systems, Dec 2021, Virtual, United States. pp.26585--26597. ⟨hal-03923314⟩
Hichem Sahbi, Haoming Zhan. FFNB: Forgetting-Free Neural Blocks for Deep Continual Learning. The British Machine Vision Conference (BMVC), Nov 2021, Virtual, United Kingdom. ⟨hal-03431391⟩
Corentin Dancette, Remi Cadene, Damien Teney, Matthieu Cord. Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. 2021 International Conference on Computer Vision, Nov 2021, Montreal, Canada. ⟨hal-03504691⟩
Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari. Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction. EMNLP 2021, Nov 2021, Punta Cana (online), Dominican Republic. pp.10438-10449. ⟨hal-03480371⟩
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, et al.. QuestEval: Summarization Asks for Fact-based Evaluation. 2021 Conference on Empirical Methods in Natural Language Processing, Nov 2021, Online and Punta Cana, Dominican Republic. pp.6594-6604, ⟨10.18653/v1/2021.emnlp-main.529⟩. ⟨hal-03923328⟩
Clément Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, et al.. Data-QuestEval: A Reference-less Metric for Data-to-Text Semantic Evaluation. 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2021, Punta Cana, Dominican Republic. pp.8029-8036, ⟨10.18653/v1/2021.emnlp-main.633⟩. ⟨hal-03479905⟩
Manon Cesaire, Lucas Schott, Hatem Hajri, Sylvain Lamprier, Patrick Gallinari. Stochastic Sparse Adversarial Attacks. 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2021, Washington, United States. pp.1247-1254, ⟨10.1109/ICTAI52525.2021.00198⟩. ⟨hal-03550949⟩
Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez. Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2021, Montreal (virtuel), Canada. ⟨hal-03482751⟩
Hichem Sahbi. Learning Laplacians in Chebyshev Graph Convolutional Networks. IEEE/CVF International Conference on Computer Vision (ICCV), DLGC, Oct 2021, Montreal (virtual), Canada. pp.2064-2075. ⟨hal-03431377⟩
Thomas Luka, Laure Soulier, David Picard. Unsupervised Word Representations Learning with Bilinear Convolutional Network on Characters. The 29th European Symposium on Artificial Neural Networks, Oct 2021, Online, Belgium. pp.251-256, ⟨10.14428/esann/2021.ES2021-38⟩. ⟨hal-03479768⟩
Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, et al.. Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. Machine Learning in Medical Imaging @MICCAI, Sep 2021, Strasbourg, France. pp.317-326, ⟨10.1007/978-3-030-87589-3_33⟩. ⟨hal-03532954⟩
Charles Corbière, Marc Lafon, Nicolas Thome, Matthieu Cord, Patrick Pérez. Beyond First-Order Uncertainty Estimation with Evidential Models for Open-World Recognition. ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning, Sep 2021, Virtual, Austria. ⟨hal-03347628⟩
Hichem Sahbi. Lightweight Connectivity In Graph Convolutional Networks For Skeleton-Based Recognition. IEEE International Conference on Image Processing (ICIP), Sep 2021, Anchorage, AK (virtual), United States. pp.2329-2333, ⟨10.1109/ICIP42928.2021.9506774⟩. ⟨hal-03431268⟩
Robin Dupont, Hichem Sahbi, Guillaume Michel. Weight Reparametrization for Budget-Aware Network Pruning. IEEE International Conference on Image Processing (ICIP), Sep 2021, Anchorage, AK (virtual), United States. pp.789-793, ⟨10.1109/ICIP42928.2021.9506265⟩. ⟨hal-03431309⟩
Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki. Learning Unbiased Representations via Rényi Minimization. European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD 2021, Sep 2021, Bilbao, Spain. pp.749-764, ⟨10.1007/978-3-030-86520-7_46⟩. ⟨hal-03923320⟩
Jérémie Dona, Patrick Gallinari. Differentiable Feature Selection, a Reparameterization Approach. ECML PDKK 2021, Sep 2021, Virtual, France. ⟨hal-03291389⟩
Pierre Erbacher, Laure Soulier, Ludovic Denoyer. State of the Art of User Simulation approaches for conversational information retrieval. CSR-Sim4IR 2021 Causality in Search and Recommendation and Simulation of Information Retrieval Evaluation 2021, Jul 2021, Online, Canada. ⟨hal-03480742⟩
Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant. SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking. SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2021, Virtual Event, Canada. pp.2288-2292, ⟨10.1145/3404835.3463098⟩. ⟨hal-03290774⟩
Hichem Sahbi, Sébastien Deschamps, Andrei Stoian. Frugal Learning for Interactive Satellite Image Change Detection. IEEE International Geoscience and Remote Sensing Symposium, Jul 2021, Brussels, Belgium. pp.2811-2814, ⟨10.1109/IGARSS47720.2021.9553385⟩. ⟨hal-03431343⟩
Marie Déchelle, Jérémie Donà, Kévin Plessis-Fraissard, Patrick Gallinari, Marina Lévy. Bridging dynamical models and deep networks to solve forward and inverse problems. NeurIPS 2020 - 1st NeurIPS workshop on Interpretable Inductive Biases and Physically Structured Learning, Jun 2021, Paris (virtual event), France. ⟨hal-03739572⟩
Victoriya Kashtanova, Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant. EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology. FIMH 2021 - 11th International Conference on Functional Imaging and Modeling of the Heart, Jun 2021, Stanford, CA (virtual), United States. pp.482-492, ⟨10.1007/978-3-030-78710-3_46⟩. ⟨hal-03369201⟩
Corentin Dancette, Remi Cadene, Xinlei Chen, Matthieu Cord. Learning Reasoning Mechanisms for Unbiased Question-based Counting. VQA Workshop,Conference on Computer Vision and Pattern Recognition 2021, Jun 2021, Nashville, United States. ⟨hal-03504695⟩
Corentin Dancette, Rémi Cadene, Xinlei Chen, Matthieu Cord. Learning Reasoning Mechanisms for Unbiased Question-based Counting. VQA Workshop, CVPR 2021, Jun 2021, Nashville, United States. ⟨hal-03482881⟩
Mingyuan Jiu, Hichem Sahbi. DHCN: Deep Hierarchical Context Networks For Image Annotation. IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2021, Toronto, ON, Canada. ⟨10.1109/ICASSP39728.2021.9413972⟩. ⟨hal-03431323⟩
Arthur Douillard, Timothée Lesort. Continuum: Simple Management of Complex Continual Learning Scenarios. CVPR Workshop, Jun 2021, Nashville, United States. ⟨hal-03503833⟩
Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord. PLOP: Learning without Forgetting for Continual Semantic Segmentation. CVPR, Jun 2021, Nashville, United States. ⟨hal-03503831⟩
Arthur Douillard, Eduardo Valle, Charles Ollion, Thomas Robert, Matthieu Cord. Insights from the Future for Continual Learning. CVPR Workshop, Jun 2021, Nashville, United States. ⟨hal-03503829⟩
Nathan Grinsztajn, Philippe Preux, Edouard Oyallon. Low-Rank Projections of GCNs Laplacian. ICLR 2021 Workshop GTRL, May 2021, Online, France. ⟨hal-03248056⟩
Alexandre Ramé, Matthieu Cord. DICE: DIVERSITY IN DEEP ENSEMBLES VIA CONDITIONAL REDUNDANCY ADVERSARIAL ESTIMATION. ICLR 2021 - 9th International Conference on Learning Representations, May 2021, Vienne, Austria. ⟨hal-03483364⟩
Tom Veniat, Ludovic Denoyer, Marc'Aurelio Ranzato. Efficient Continual Learning with Modular Networks and Task-Driven Priors. 9th International Conference on Learning Representations, ICLR 2021, May 2021, Vienna, Austria. ⟨hal-03276781⟩
Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari. PDE-Driven Spatiotemporal Disentanglement. The Ninth International Conference on Learning Representations, International Conference on Representation Learning, May 2021, Vienne, Austria. ⟨hal-02911067v3⟩
Jesús Lovón-Melgarejo, Laure Soulier, Karen Pinel-Sauvagnat, Lynda Tamine. Studying Catastrophic Forgetting in Neural Ranking Models. 43rd European Conference on Information Retrieval (ECIR 2021), Apr 2021, Lucca (on line), Italy. pp.375-390, ⟨10.1007/978-3-030-72113-8_25⟩. ⟨hal-03156630⟩
Thomas Luka, Laure Soulier, David Picard. Apprentissage non supervisé de représentations de mots à l'aide de réseaux de convolution bilinéaires sur des caractères. CORIA 2021, Apr 2021, Grenoble (virtuel), France. ⟨hal-03309905⟩
Pierre Erbacher, Laure Soulier. État de l'art des approches de modélisation et de simulation utilisateur pour la recherche d'information conversationnelle. CORIA 2021, Apr 2021, Grenoble, France. ⟨hal-03480755⟩
Jesus Lovon Melgarejo, Laure Soulier, Karen Pinel-Sauvagnat, Lynda Tamine. Oubli Catastrophique et Modèles Neuronaux de Recherche d'Information. 17ème conférence francophone en Recherche d’Information et Application (CORIA 2021), ARIA : Association Francophone de Recherche d’Information (RI) et Applications; Equipe MRIM du Laboratoire d’Informatique de Grenoble., Apr 2021, Grenoble (virtuel), France. pp.1-5. ⟨hal-03309985⟩
Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant. Une Analyse du Modèle ColBERT. Conférence en Recherche d’Information et Applications, Apr 2021, Grenoble (virtuelle), France. ⟨hal-03364403⟩
Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant. A White Box Analysis of ColBERT. 43rd EUROPEAN CONFERENCE ON INFORMATION RETRIEVAL, Mar 2021, Lucca (online), Italy. pp.257-263, ⟨10.1007/978-3-030-72240-1_23⟩. ⟨hal-03364396⟩
Alexandre Ramé, Rémy Sun, Matthieu Cord. MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks. ICCV 2021, Mar 2021, Paris, France. pp.823-833. ⟨hal-03483387⟩
Hichem Sahbi. Kernel-based Graph Convolutional Networks. ICPR 2020 - 25th International Conference on Pattern Recognition, Jan 2021, Milan / Virtuel, Italy. ⟨hal-03079770⟩
Louis Thiry, Michael Arbel, Eugene Belilovsky, Edouard Oyallon. The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods. International Conference on Learning Representation (ICLR 2021), 2021, Vienna (online), Austria. ⟨hal-03114389⟩
Yuan Yin, Vincent Le Guen, Jérémie Dona, Ibrahim Ayed, Emmanuel de Bézenac, et al.. Augmenting physical models with deep networks for complex dynamics forecasting. Ninth International Conference on Learning Representations ICLR 2021, 2021, Vienna (virtual), Austria. ⟨hal-03137025⟩
Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari. PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation. Proceedings of the 13th International Conference on Natural Language Generation, INLG 2020, Dec 2020, Dublin, Ireland. ⟨hal-03479883⟩
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano. ColdGANs: Taming Language GANs with Cautious Sampling Strategies. Advances in Neural Information Processing Systems, Dec 2020, Virtual, Åland Islands. pp.18978-18989. ⟨hal-03364428⟩
Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari. Let’s Stop Incorrect Comparisons in End-to-end Relation Extraction!. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2020, Punta Cana (Online), Dominican Republic. pp.3689-3701, ⟨10.18653/v1/2020.emnlp-main.301⟩. ⟨hal-03480380⟩
Arnaud Dapogny, Kevin Bailly, Matthieu Cord. Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion. 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), Nov 2020, Buenos Aires, Argentina. pp.192-198, ⟨10.1109/FG47880.2020.00038⟩. ⟨hal-03174162⟩
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano. MLSUM: The Multilingual Summarization Corpus. 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2020, Online, France. pp.8051-8067, ⟨10.18653/v1/2020.emnlp-main.647⟩. ⟨hal-03364407⟩
Skander Karkar, Ibrahim Ayed, Emmanuel de Bezenac, Patrick Gallinari. A Principle of Least Action for the Training of Neural Networks. ECML PKDD, Sep 2020, Ghent, Belgium. ⟨hal-03038615⟩
Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle. PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning. ECCV 2020 - 16th European Conference on Computer Vision, Aug 2020, Glasgow, United Kingdom. pp.86-102, ⟨10.1007/978-3-030-58565-5_6⟩. ⟨hal-03503824⟩
Benjamin Piwowarski. Experimaestro and Datamaestro. SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval, Jul 2020, Virtual Event China, China. pp.2173-2176, ⟨10.1145/3397271.3401410⟩. ⟨hal-02989011⟩
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano. Discriminative Adversarial Search for Abstractive Summarization. 37th International Conference on Machine Learning, Jul 2020, Virtual, Åland Islands. pp.8555-8564. ⟨hal-03364422⟩
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon. Decoupled Greedy Learning of CNNs. International Conference on Machine Learning, Jul 2020, Vienna (virtual), Austria. pp.5368-5377. ⟨hal-02945327⟩
Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari. Stochastic Latent Residual Video Prediction. Thirty-seventh International Conference on Machine Learning, International Machine Learning Society, Jul 2020, Vienne, Austria. pp.3233--3246. ⟨hal-02484182v4⟩
Vincent Grari, Sylvain Lamprier, Marcin Detyniecki. Fairness-Aware Neural Rényi Minimization for Continuous Features. Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}, Jul 2020, Yokohama, Japan. pp.2262-2268, ⟨10.24963/ijcai.2020/313⟩. ⟨hal-03923324⟩
Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski. Using BERT and BART for Query Suggestion. Joint Conference of the Information Retrieval Communities in Europe, Jul 2020, Samatan, France. ⟨hal-02989015⟩
Nina Miolane, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, et al.. Introduction to Geometric Learning in Python with Geomstats. SciPy 2020 - 19th Python in Science Conference, Jul 2020, Austin, Texas, United States. pp.48-57, ⟨10.25080/Majora-342d178e-007⟩. ⟨hal-02908006⟩
Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari. Capturing Entity Hierarchy in Data-to-Text Generative Models. First Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), Jul 2020, Online, France. ⟨hal-03479813⟩
Edouard Oyallon. Interferometric Graph Transform: a Deep Unsupervised Graph Representation. 37th International Conference on Machine Learning (ICML 2020), Jul 2020, Online, Austria. ⟨hal-02862516⟩
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord. Learning Representations by Predicting Bags of Visual Words. CVPR2020 - Conference on Computer Vision and Pattern Recognition, Jun 2020, Seattle, WA, United States. ⟨hal-02505058⟩
Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez. ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation. Workshop on Scalability in Autonomous Driving at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2020, Seattle, Washington (virtual), United States. ⟨hal-03482770⟩
Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez. This dataset does not exist: training models from generated images. ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelona, Spain. ⟨hal-02507436⟩
Evangelos Moschos, Olivier Schwander, Alexandre Stegner, Patrick Gallinari. DEEP-SST-EDDIES: A Deep Learning framework to detect oceanic eddies in Sea Surface Temperature images. ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelona, Spain. pp.4307-4311, ⟨10.1109/ICASSP40776.2020.9053909⟩. ⟨hal-02470051⟩
Clara Gainon de Forsan de Gabriac, Vincent Guigue, Patrick Gallinari. Resume: A Robust Framework for Professional Profile Learning & Evaluation. ESANN 2020 - 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2020, Bruges, Belgium. ⟨hal-02503464⟩
Perrine Cribier-Delande, Raphaël Puget, Vincent Guigue, Ludovic Denoyer. Time Series Prediction using Disentangled Latent Factors. ESANN 2020 - 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2020, Bruges, Belgium. ⟨hal-02503465⟩
Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari. A Hierarchical Model for Data-to-Text Generation. 42nd European Conference on IR Research, ECIR 2020, Apr 2020, Lisbon, Portugal. pp.65-80, ⟨10.1007/978-3-030-45439-5_5⟩. ⟨hal-02774325⟩
Bruno Taille, Vincent Guigue, Patrick Gallinari. Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. ECIR 2020 - 42nd European Conference on Information Retrieval, Apr 2020, Lisbon, Portugal. ⟨hal-02503463⟩
Arnaud Dapogny, Matthieu Cord, Patrick Pérez. The Missing Data Encoder: Cross-Channel Image Completion with Hide-And-Seek Adversarial Network. AAAI-20 - Thirty-Fourth AAAI Conference on Artificial Intelligence, Feb 2020, New York, New York, United States. ⟨hal-02507454⟩
Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer. Dynamic Neural Language Models. ICONIP 2019 - 26th International Conference on Neural Information Processing, Dec 2019, Sydney, Australia. pp.282-294, ⟨10.1007/978-3-030-36718-3_24⟩. ⟨hal-02459622⟩
Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez. Zero-Shot Semantic Segmentation. NeurIPS, Dec 2019, vancouver, Canada. ⟨hal-02146433v2⟩
Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez. Addressing Failure Prediction by Learning Model Confidence. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Dec 2019, Vancouver, Canada. pp.2898-2909. ⟨hal-02469747⟩
Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi. Unsupervised Scalable Representation Learning for Multivariate Time Series. Thirty-third Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, Dec 2019, Vancouver, Canada. pp.4650--4661. ⟨hal-01998101v4⟩
Daniel A Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord. Riemannian batch normalization for SPD neural networks. Thirty-third Annual Conference on Neural Information Processing Systems., Dec 2019, Vancouver, Canada. ⟨hal-02422458⟩
Mickaël Chen, Thierry Artières, Ludovic Denoyer. Unsupervised Object Segmentation by Redrawing. Advances in Neural Information Processing Systems 32 (NIPS 2019), Dec 2019, Vancouver, Canada. pp.12705-12716. ⟨hal-02443872⟩
Remi Cadene, Corentin Dancette, Hedi Ben-Younes, Matthieu Cord, Devi Parikh. RUBi: Reducing Unimodal Biases for Visual Question Answering. Neural Information Processing Systems, Dec 2019, Vancouver, Canada. pp.841-852. ⟨hal-02507524⟩
Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer. Learning Dynamic Author Representations with Temporal Language Models. 2019 IEEE International Conference on Data Mining (ICDM), Nov 2019, Beijing, China. pp.120-129, ⟨10.1109/ICDM.2019.00022⟩. ⟨hal-02466142⟩
Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano. Answers Unite! Unsupervised Metrics for Reinforced Summarization Models. 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Nov 2019, Hong Kong, China. pp.3237-3247, ⟨10.18653/v1/D19-1320⟩. ⟨hal-02350999⟩
Patrick Bordes, Éloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari. Incorporating Visual Semantics into Sentence Representations within a Grounded Space. 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Nov 2019, Hong Kong, China. pp.696-707, ⟨10.18653/v1/D19-1064⟩. ⟨hal-02351003⟩
Nicolas Baskiotis, Lucas Becirspahic, Romain Brault, Stephane Duguet, Vincent Guigue, et al.. A Deep Approach of Affluence Forecasting in Subway Networks. WCRR 2019 - 12th World Congress on Railway Research, Oct 2019, Tokyo, Japan. ⟨hal-02503471⟩
Hichem Sahbi. Deep Total Variation Support Vector Networks. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), Oct 2019, Seoul, South Korea. pp.3028-3038, ⟨10.1109/ICCVW.2019.00365⟩. ⟨hal-03087046⟩
Arnaud Dapogny, Bailly Kevin, Matthieu Cord. DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild. The IEEE International Conference on Computer Vision (ICCV), Oct 2019, Seoul, South Korea. ⟨hal-02450430⟩
Thomas Garbay, Orlando Chuquimia, Andrea Pinna, Hichem Sahbi, Xavier Dray, et al.. Distilling the knowledge in CNN for WCE screening tool. 2019 Conference on Design and Architectures for Signal and Image Processing (DASIP), Oct 2019, Montreal, Canada. pp.19-22, ⟨10.1109/DASIP48288.2019.9049201⟩. ⟨hal-03467026⟩
Bruno Taillé, Vincent Guigue, Patrick Gallinari. Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. EurNLP, Oct 2019, London, United Kingdom. ⟨hal-02503466⟩
Daniel A Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord. A Hermitian Positive Definite neural network for micro-Doppler complex covariance processing. International Radar Conference, Sep 2019, Toulon, France. ⟨hal-02422456⟩
Antoine Saporta, Yifu Chen, Michael Blot, Matthieu Cord. REVE: Regularizing Deep Learning with Variational Entropy Bound. 2019 IEEE International Conference on Image Processing (ICIP), Sep 2019, Taipei, Taiwan. pp.1610-1614, ⟨10.1109/ICIP.2019.8804396⟩. ⟨hal-02316946⟩
Yifu Chen, Antoine Saporta, Arnaud Dapogny, Matthieu Cord. Delving Deep into Interpreting Neural Nets with Piece-Wise Affine Representation. 2019 IEEE International Conference on Image Processing (ICIP), Sep 2019, Taipei, Taiwan. pp.609-613, ⟨10.1109/ICIP.2019.8803817⟩. ⟨hal-02507512⟩
Ahmed Mazari, Hichem Sahbi. MLGCN: Multi-Laplacian Graph Convolutional Networks for Human Action Recognition. The British Machine Vision Conference (BMVC), Sep 2019, Cardiff, United Kingdom. ⟨hal-03089634⟩
Daniel Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord. Second-order networks in PyTorch. GSI 2019 - 4th International Conference on Geometric Science of Information, Aug 2019, Toulouse, France. pp.751-758, ⟨10.1007/978-3-030-26980-7_78⟩. ⟨hal-02290841⟩
Valentin Guiguet, Perrine Cribier-Delande, Nicolas Baskiotis, Vincent Guigue. Prédiction de séries temporelles multi-variées stationnaires: modélisation du contexte pour l'analyse des données de transports. GRETSI 2019, Aug 2019, Lille, France. ⟨hal-02269214⟩
Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano. Self-Attention Architectures for Answer-Agnostic Neural Question Generation. ACL 2019 - Annual Meeting of the Association for Computational Linguistics, Jul 2019, Florence, Italy. pp.6027-6032, ⟨10.18653/v1/P19-1604⟩. ⟨hal-02350993⟩
Étienne Simon, Vincent Guigue, Benjamin Piwowarski. Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses. ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Jul 2019, Florence, Italy. pp.1378-1387, ⟨10.18653/v1/P19-1133⟩. ⟨hal-02318233⟩
Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari. Filtrage collaboratif explicite par analyse de sentiments à l’aveugle. CAp 2019 - 21ème Conférence sur l'Apprentissage automatique, Jul 2019, Toulouse, France. ⟨hal-02503467⟩
Etienne Simon, Vincent Guigue, Benjamin Piwowarski. Extraction d'information non supervisée avec des modèles discriminants. CAp 2019 - 21ème Conférence sur l'Apprentissage automatique, Jul 2019, Toulouse, France. ⟨hal-02503469⟩
Bruno Taillé, Vincent Guigue, Patrick Gallinari. Une Etude Empirique de la Capacité de Généralisation des Plongements de Mots Contextuels en Extraction d'Entités. CAp 2019 - 21ème Conférence sur l'Apprentissage automatique, Jul 2019, Toulouse, France. ⟨hal-02503468⟩
Thomas Gerald, Nicolas Baskiotis. Joint Label/Example Hyperbolic Representation for Extreme Classification. Conférence sur l’Apprentissage automatique 2019, Jul 2019, Toulouse, France. ⟨hal-04023681⟩
Daniel A Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord. Complex-valued neural networks for fully-temporal micro-Doppler classification. 2019 20th International Radar Symposium (IRS), Jun 2019, Ulm, Germany. ⟨10.23919/IRS.2019.8768161⟩. ⟨hal-02290835⟩
Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord. SoDeep: a Sorting Deep net to learn ranking loss surrogates. CVPR 2019 - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2019, Long Beach, United States. ⟨hal-02171870⟩
Remi Cadene, Hedi Ben-Younes, Matthieu Cord, Nicolas Thome. MUREL: Multimodal Relational Reasoning for Visual Question Answering. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2019, Long Beach, CA, United States. ⟨hal-02073649⟩
Eloi Zablocki, Patrick Bordes, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari. Context-Aware Zero-Shot Learning for Object Recognition. Thirty-sixth International Conference on Machine Learning (ICML), Jun 2019, Long Beach, CA, United States. ⟨hal-02116654⟩
Sylvain Lamprier. A Recurrent Neural Cascade-based Model for Continuous-Time Diffusion. ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, CA, United States. pp.3632-3641. ⟨hal-02505134⟩
Ibrahim Ayed, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant. EP-Net: Learning Cardiac Electrophysiology Models for Physiology-based Constraints in Data-Driven Predictions. FIMH 2019 - 10th International Conference on Functional Imaging of the Hearth, Jun 2019, Bordeaux, France. pp.55-63. ⟨hal-02106618⟩
Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano. Architecture basée sur les mécanismes d'attention: le cas de la génération de questions neuronales. COnférence en Recherche d'Informations et Applications - CORIA 2019, 16th French Information Retrieval Conference, May 2019, Lyon, France. ⟨10.24348/coria.2019.CORIA_2019_paper_11⟩. ⟨hal-02351017⟩
Patrick Bordes, Éloi Zablocki, Laure Soulier, Benjamin Piwowarski. Un modèle multimodal d’apprentissage de représentations de phrases qui préserve la sémantique visuelle. COnférence en Recherche d'Informations et Applications, May 2019, Lyon, France. ⟨10.24348/coria.2019.CORIA_2019_paper_9⟩. ⟨hal-02351045⟩
Orlando Chuquimia, Thomas Garbay, Weiqin Xu, Andrea Pinna, Xavier Dray, et al.. Study to integrate CNN inside a WCE to realize a screening tool. Journées d'Etude sur la TéléSanté, Sorbonne Universités, May 2019, Paris, France. ⟨hal-02161071⟩
Estephe Arnaud, Arnaud Dapogny, Kevin Bailly. Tree-gated deep regressor ensemble for face alignment in the wild. 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), May 2019, Lille, France. pp.1-7, ⟨10.1109/FG.2019.8756538⟩. ⟨hal-03181843⟩
Daniel A Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord. Exploring Complex Time-series Representations for Riemannian Machine Learning of Radar Data. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2019, Brighton, United Kingdom. pp.3672-3676, ⟨10.1109/ICASSP.2019.8683056⟩. ⟨hal-02290838⟩
Ahmed Mazari, Hichem Sahbi. Deep Temporal Pyramid Design For Action Recognition. IEEE International Conference on Acoustic, Speech and Signal Processing, ICASSP, May 2019, Brighton, United Kingdom. pp.2077-2081, ⟨10.1109/ICASSP.2019.8683035⟩. ⟨hal-03089627⟩
Tom Véniat, Olivier Schwander, Ludovic Denoyer. STOCHASTIC ADAPTIVE NEURAL ARCHITECTURE SEARCH FOR KEYWORD SPOTTING. ICASSP 2019 - International Conference on Acoustics, Speech, and Signal Processing, May 2019, Brighton, United Kingdom. ⟨hal-02063698⟩
Wafa Aissa, Laure Soulier, Ludovic Denoyer. Modèle de compréhension du besoin en information pour la RI conversationnelle. CORIA 2019 - 16ème COnférence en Recherche d’Information et Applications, Mar 2019, Lyon, France. ⟨hal-02150653⟩
Hedi Ben-Younes, Remi Cadene, Nicolas Thome, Matthieu Cord. BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. AAAI 2019 - 33rd AAAI Conference on Artificial Intelligence, Jan 2019, Honolulu, United States. ⟨hal-02073644⟩
Taylor Mordan, Nicolas Thome, Gilles Henaff, Matthieu Cord. Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection. 32nd Conference on Neural Information Processing Systems (NeurIPS), Dec 2018, Montréal, Canada. ⟨hal-01922291v3⟩
Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein. Leveraging Implicit Spatial Information In Global Features For Image Retrieval . IEEE International Conference in Image Processing, Oct 2018, Athens, Greece. ⟨hal-01816918⟩
Hichem Sahbi. Structured Scene Decoding with Finite State Machines. IEEE International Conference on Image Processing, ICIP, Oct 2018, Athens, Greece. pp.485-489, ⟨10.1109/ICIP.2018.8451821⟩. ⟨hal-02325831⟩
Michael Blot, Thomas Robert, Nicolas Thome, Matthieu Cord. SHADE: Information-Based Regularization for Deep Learning. ICIP 2018 - 25th IEEE International Conference on Image Processing, Oct 2018, Athènes, Greece. pp.813-817, ⟨10.1109/ICIP.2018.8451092⟩. ⟨hal-01994740⟩
Wafa Aissa, Laure Soulier, Ludovic Denoyer. A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems. SCAI 2018 : 2nd edition of the workshop on Search-Oriented Conversational AI, Oct 2018, Bruxelles, Belgium. pp.33 - 39. ⟨hal-02002991⟩
Saeed Varasteh Yazdi, Ahlame Douzal-Chouakria, Patrick Gallinari, Manuel Moussallam. Time warp invariant dictionary learning for time series clustering: application to music data stream analysis. ECML/PKDD, 2018, Sep 2018, Dublin, Ireland. ⟨hal-01898905⟩
Hichem Sahbi. Learning CCA Representations for Misaligned Data. European Conference on Computer Vision, ECCV - Workshop, Sep 2018, Munich, Germany. pp.468-485, ⟨10.1007/978-3-030-11018-5_39⟩. ⟨hal-02325827⟩
Thomas Robert, Nicolas Thome, Matthieu Cord. HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning. ECCV 2018 - 15th European Conference on Computer Vision, Sep 2018, Munich, Germany. pp.158-175, ⟨10.1007/978-3-030-01234-2_10⟩. ⟨hal-02073640⟩
Mingyuan Jiu, Hichem Sahbi, Lin Qi. Deep Context Networks for Image Annotation. IEEE International Conference on Pattern Recognition (ICPR), Aug 2018, Beijing, China. pp.2422-2427, ⟨10.1109/ICPR.2018.8545396⟩. ⟨hal-02325840⟩
Quentin Oliveau, Hichem Sahbi. Semi-Supervised Deep Attribute Networks for Fine-Grained Ship Category Recognition. IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valencia, Spain. pp.6871-6874, ⟨10.1109/IGARSS.2018.8517589⟩. ⟨hal-02325869⟩
Tristan Postadjian, Arnaud Le Bris, Hichem Sahbi, Clément Mallet. Domain Adaptation for Large Scale Classification of Very High Resolution Satellite Images with Deep Convolutional Neural Networks. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2018, Valencia, Spain. pp.3623-3626, ⟨10.1109/IGARSS.2018.8518799⟩. ⟨hal-02325855⟩
Tristan Postadjian, Arnaud Le Bris, Clément Mallet, Hichem Sahbi. Superpixel Partitioning of Very High Resolution Satellite Images for Large-Scale Classification Perspectives with Deep Convolutional Neural Networks. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2018, Valencia, Spain. pp.1328-1331, ⟨10.1109/IGARSS.2018.8519222⟩. ⟨hal-02325850⟩
Alexis Conneau, German Kruszewski, Guillaume Lample, Loïc Barrault, Marco Baroni. What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties. ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Jul 2018, Melbourne, Australia. pp.2126-2136. ⟨hal-01898412⟩
Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, et al.. Cross-Modal Retrieval in the Cooking Context. SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, Jul 2018, Ann Arbor, Michigan, United States. pp.35-44, ⟨10.1145/3209978.3210036⟩. ⟨hal-01839068⟩
Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord. Deep semantic-visual embedding with localization. RFIAP 2018 - Congrès Reconnaissance des Formes, Image, Apprentissage et Perception, Jun 2018, Marne-la-Vallée, France. ⟨hal-02171880⟩
Diogo C Luvizon, Hedi Tabia, David Picard. Multimodal Deep Neural Networks for Pose Estimation and Action Recognition. Congrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP 2018), Jun 2018, Marne-la-Vallée, France. ⟨hal-01815707⟩
Thomas Gerald, Nicolas Baskiotis, Ludovic Denoyer. Apprentissage stochastique de représentation binaire pour la classification multi-classe dans un grand nombre de catégories. Conférence sur l’Apprentissage automatique 2018, Jun 2018, Rouen, France. ⟨hal-04023695⟩
Eloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari. Apprentissage multimodal de représentation de mots à l'aide de contexte visuel. Conférence sur l'Apprentissage Automatique, Jun 2018, Rouen, France. ⟨hal-01842358⟩
Daniel Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord. Temporal Deep Learning for Drone Micro-Doppler Classification. IRS 2018 - 19th International Radar Symposium, Jun 2018, Bonn, Germany. ⟨10.23919/IRS.2018.8447963⟩. ⟨hal-02290839⟩
Tom Veniat, Ludovic Denoyer. Learning Time/Memory-Efficient Deep Architectures with Budgeted Super Networks. 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Jun 2018, Salt Lake City, United States. pp.3492-3500, ⟨10.1109/CVPR.2018.00368⟩. ⟨hal-03276799⟩
Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord. Finding beans in burgers: Deep semantic-visual embedding with localization. CVPR 2018 - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2018, Salt Lake City, United States. pp.3984-3993, ⟨10.1109/CVPR.2018.00419⟩. ⟨hal-02171857⟩
Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari. Factorisation de Tenseurs pour l'analyse de réseaux de mobilité. 1ères Rencontres Francophones Transport-Mobilité (RFTM), Jun 2018, Lyon, France. ⟨hal-02503472⟩
Gia-Hung Nguyen, Lynda Tamine, Laure Soulier, Nathalie Souf. A Tri-Partite Neural Document Language Model for Semantic Information Retrieval. ESWC 2018 - 15th European Semantic Web Conference, Jun 2018, Heraklion, Crète, Greece. pp.445-461, ⟨10.1007/978-3-319-93417-4_29⟩. ⟨hal-01841594v2⟩
Charles-Emmanuel Dias, Clara Gainon de Forsan de Gabriac, Vincent Guigue, Patrick Gallinari. RNN & modèle d’attention pour l’apprentissage de profils textuels personnalisés. CORIA 2018 - 15ème COnférence en Recherche d'Informations et Applications, May 2018, Rennes, France. ⟨10.24348/coria.2018.paper11⟩. ⟨hal-02503473⟩
Hadrien Titeux, Benjamin Piwowarski, Patrick Gallinari. Représentations Gaussiennes pour le Filtrage Collaboratif. 15ème COnférence en Recherche d'Informations et Applications - CORIA 2018, May 2018, Rennes, France. ⟨10.24348/coria.2018.paper31⟩. ⟨hal-02074930⟩
Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer. Apprentissage de l'évolution langagière dans des communautés d'auteurs. 15ème COnférence en Recherche d'Informations et Applications - CORIA 2018, May 2018, Rennes, France. ⟨10.24348/coria.2018.paper15⟩. ⟨hal-02074995⟩
Gia-Hung Nguyen, Lynda Tamine, Laure Soulier, Nathalie Bricon-Souf. Modèle neuronal tripartite pour la représentation de documents. 15ème Conférence francophone en Recherche d'Information et Applications (CORIA 2018), ARIA (Association francophone de Recherche d’Information et Applications); IRISA (UMR 6074); Centre Inria Bretagne-Atlantique, May 2018, Rennes, France. ⟨hal-01841606⟩
Mickaël Chen, Ludovic Denoyer, Thierry Artières. Multi-View Data Generation Without View Supervision. 6th International Conference on Learning Representations (ICLR 2018), Apr 2018, Vancouver, Canada. ⟨hal-02101404⟩
Qi Wang, Mickaël Chen, Thierry Artières, Ludovic Denoyer. Transferring Style in Motion Capture Sequences with Adversarial Learning. ESANN, Apr 2018, Bruges, Belgium. ⟨hal-02100672⟩
Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari. Regularize and Explicit Collaborative Filtering With Textual Attention. ESANN 2018 - European Symposium on Artificial Neural Networks, Apr 2018, Bruges, Belgium. ⟨hal-02503475⟩
Micael Carvalho, Remi Cadene, David Picard, Laure Soulier, Matthieu Cord. Images & Recipes: Retrieval in the cooking context. International Conference on Data Engineering (ICDE), DECOR workshop, Apr 2018, Paris, France. ⟨hal-01841660⟩
Éloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari. Learning Multi-Modal Word Representation Grounded in Visual Context. Association for the Advancement of Artificial Intelligence (AAAI), Feb 2018, New Orleans, United States. ⟨hal-01632414⟩
Quentin Oliveau, Hichem Sahbi. From Transductive to Inductive Semi-Supervised Attributes for Ship Category Recognition. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018, Valencia, Spain. pp.4827-4830, ⟨10.1109/IGARSS.2018.8518265⟩. ⟨hal-02325862⟩
Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, et al.. Fader Networks: Generating Image Variations by Sliding Attribute Values. 31st Conference on Neural Information Processing Systems (NIPS 2017), Dec 2017, Long Beach, CA, United States. pp.5969-5978. ⟨hal-01949501⟩
Gia-Hung Nguyen, Lynda Tamine, Laure Soulier, Nathalie Souf. Apprentissage de représentation des documents médicaux guidé par les concepts pour la recherche d'information. 4e Symposium sur l'Ingénierie de l'Information Médicale (SIIM 2017), Nov 2017, Toulouse, France. pp.1-8. ⟨hal-02316857⟩
Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari. Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. 2017 IEEE International Conference on Data Mining (ICDM), Nov 2017, La Nouvelle Orléans, LA, United States. pp.705-714, ⟨10.1109/ICDM.2017.80⟩. ⟨hal-02297513v2⟩
Maxime Sangnier, Olivier Fercoq, Florence d'Alché-Buc. Data sparse nonparametric regression with epsilon-insensitive losses. 9th Asian Conference on Machine Learning (ACML 2017), Nov 2017, Séoul, South Korea. pp.192-207. ⟨hal-01593459⟩
Thomas Gerald, Nicolas Baskiotis, Ludovic Denoyer. Binary Stochastic Representations for Large Multi-class Classification. The 24th International Conference on Neural Information Processing, Nov 2017, Guangzhou, China. pp.155-165, ⟨10.1007/978-3-319-70087-8_17⟩. ⟨hal-04003146⟩
Hedi Ben-Younes, Remi Cadene, Matthieu Cord, Nicolas Thome. MUTAN: Multimodal Tucker Fusion for Visual Question Answering. 2017 IEEE International Conference on Computer Vision (ICCV), Oct 2017, Venice, Italy. pp.2631-2639, ⟨10.1109/ICCV.2017.285⟩. ⟨hal-02073637⟩
Gia-Hung Nguyen, Laure Soulier, Lynda Tamine, Nathalie Bricon-Souf. DSRIM: A Deep Neural Information Retrieval Model Enhanced by a Knowledge Resource Driven Representation of Documents. 3rd International Conference on the Theory of Information Retrieval (ICTIR 2017), ACM SIGIR, Oct 2017, Amsterdam, Netherlands. pp.19-26, ⟨10.1145/3121050.3121063⟩. ⟨hal-01549543⟩
Gabriella Contardo, Ludovic Denoyer, Thierry Artières. A Meta-Learning Approach to One-Step Active-Learning. International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms, Sep 2017, Skopje, Macedonia. pp.28-40. ⟨hal-01691472⟩
Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari. Variational Thompson Sampling for Relational Recurrent Bandits. Joint European Conference on Machine Learning and Knowledge Discovery in Databases - ECML/PKDD 2017, Sep 2017, Skopje, Macedonia. pp.405-421, ⟨10.1007/978-3-319-71246-8_25⟩. ⟨hal-02075008⟩
Mickaël Chen, Ludovic Denoyer. Multi-view Generative Adversarial Networks. ECML PKDD 2017, Sep 2017, Skopje, Macedonia. pp.175-188, ⟨10.1007/978-3-319-71246-8_11⟩. ⟨hal-02101339⟩
Taylor Mordan, Nicolas Thome, Matthieu Cord, Gilles Henaff. Deformable Part-based Fully Convolutional Network for Object Detection. British Machine Vision Conference (BMVC), Sep 2017, London, United Kingdom. ⟨hal-01637070⟩
Ludovic dos Santos, Benjamin Piwowarski, Patrick Gallinari. Gaussian Embeddings for Collaborative Filtering. 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Aug 2017, Tokyo, Japan. pp.1065-1068, ⟨10.1145/3077136.3080722⟩. ⟨hal-01582488⟩
Thibaut Durand, Taylor Mordan, Nicolas Thome, Matthieu Cord. WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), IEEE, Jul 2017, Honolulu, HI, United States. pp.5957-5966, ⟨10.1109/CVPR.2017.631⟩. ⟨hal-01515640⟩
Gia-Hung Nguyen, Lynda Tamine, Laure Soulier, Nathalie Souf. Learning Concept-Driven Document Embeddings for Medical Information Search. 16th Conference on Artificial Intelligence in Medicine (AIME 2017), Jun 2017, Vienna, Austria. pp.160-170, ⟨10.1007/978-3-319-59758-4_17⟩. ⟨hal-01517094⟩
Tristan Postadjian, A. Le Bris, Hichem Sahbi, Clément Mallet. Investigating the potential of deep neural networks for large-scale classification of very high resolution satellite images. ISPRS Hannover Workshop 2017, Jun 2017, Hanovre, Germany. pp.183-190, ⟨10.5194/isprs-annals-IV-1-W1-183-2017⟩. ⟨hal-02384451⟩
Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari. Text-based collaborative filtering for cold-start soothing and recommendation enrichment. AISR2017, May 2017, Paris, France. ⟨hal-01640268⟩
Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari. Anomaly detection and characterization in smart card logs using NMF and Tweets. ESANN 2017 - 25th European Symposium on Artificial Neural Networks, Apr 2017, Bruges, Belgium. ⟨hal-02503476⟩
Nassim Aklil, Benoît Girard, Mehdi Khamassi, Ludovic Denoyer. Sequential Action Selection for Budgeted Localization in Robots. IEEE Robotic Computing 2017, IEEE, Apr 2017, Taichung, Taiwan. pp.97 - 100, ⟨10.1109/IRC.2017.19⟩. ⟨hal-01524808⟩
Simon Bourigault, Sylvain Lamprier, Patrick Gallinari. Apprentissage de représentation pour la détection de source dans les réseaux sociaux. COnférence en Recherche d'Informations et Applications - CORIA 2017, 14th French Information Retrieval Conference, Mar 2017, Marseille, France. pp.235--250. ⟨hal-01549569⟩
Gia-Hung Nguyen, Laure Soulier, Lynda Tamine, Nathalie Bricon-Souf. Modèle Neuronal de Recherche d'Information Augmenté par une Ressource Sémantique. Conférence francophone en Recherche d'Information et Applications (CORIA 2017), LSIS, Université de Marseille; ARIA : Association Francophone de Recherche d’Information (RI) et Applications, Mar 2017, Marseille, France. pp.1-16. ⟨hal-01517032⟩
Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari. Passé, présent, futurs : induction de carrières professionnelles à partir de CV. COnférence en Recherche d'Informations et Applications - CORIA 2017, 14th French Information Retrieval Conference, Mar 2017, Marseille, France. pp.281--296. ⟨hal-01549568⟩
Leif Azzopardi, Jeremy Pickens, Chirag Shah, Laure Soulier, Lynda Tamine. Second International Workshop On the Evaluation of Collaborative Information Seeking and Retrieval (ECol'17). ECol 2017 @ 2017 Conference on Conference Human Information Interaction and Retrieval, ACM SIGIR, Mar 2017, Oslo, Norway. pp.429-431, ⟨10.1145/3020165.3022164⟩. ⟨hal-01518028⟩
Éloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari. LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings Working notes. CLEF 2017, 2017, Dublin, Ireland. ⟨hal-01579493⟩
Gia-Hung Nguyen, Laure Soulier, Lynda Tamine, Nathalie Bricon-Souf. IRIT @ TREC 2016 Clinical Decision Support Track. Text REtrieval Conference (TREC 2016), Nov 2016, Gaithersburg, MD, United States. ⟨hal-01464681⟩
Cynthia Delauney, Nicolas Baskiotis, Vincent Guigue. Trajectory Bayesian Indexing : The Airport Ground Traffic Case. ITSC 2016 - 19th IEEE Intelligent Transportation Systems Conference, IEEE, Nov 2016, Rio de Janeiro, Brazil. ⟨hal-01356344⟩
Laure Soulier, Lynda Tamine, Gia-Hung Nguyen. Answering Twitter Questions: a Model for Recommending Answerers through Social Collaboration. CIKM 2016 - 25th ACM International Conference on Information and Knowledge Management, Oct 2016, Indianapolis, United States. pp.267-276, ⟨10.1145/2983323.2983771⟩. ⟨hal-01353587⟩
Thierry Artières, Gabriella Contardo, Ludovic Denoyer. Recurrent Neural Networks for Adaptive Feature Acquisition. 23rd International Conference on Neural Information Processing (ICONIP 2016), Oct 2016, Kyoto, Japan. pp.591-599, ⟨10.1007/978-3-319-46675-0_65⟩. ⟨hal-01874158⟩
Xin Wang, Nicolas Thome, Matthieu Cord. GAZE LATENT SUPPORT VECTOR MACHINE FOR IMAGE CLASSIFICATION. IEEE International Conference on Image Processing (ICIP), IEEE, Sep 2016, Phoenix, AZ, United States. ⟨10.1109/ICIP.2016.7532354⟩. ⟨hal-01342580⟩
Michael Blot, Matthieu Cord, Nicolas Thome. Max-min convolutional neural networks for image classification. ICIP 2016 - IEEE International Conference on Image Processing, Sep 2016, Phoenix, United States. pp.3678-3682, ⟨10.1109/ICIP.2016.7533046⟩. ⟨hal-01372216⟩
Micael Carvalho, Matthieu Cord, Sandra Avila, Nicolas Thome, Eduardo Valle. Deep Neural Networks Under Stress. IEEE International Conference on Image Processing (ICIP 2016), Sep 2016, Phoenix, AZ, United States. ⟨10.1109/ICIP.2016.7533200⟩. ⟨hal-01340298⟩
Simon Bourigault, Sylvain Lamprier, Patrick Gallinari. Learning Distributed Representations of Users for Source Detection in Online Social Networks. ECML PKDD 2016 - European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2016, Riva del Garda, Italy. pp.265-281, ⟨10.1007/978-3-319-46227-1_17⟩. ⟨hal-01345751⟩
Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari. Linear Bandits in Unknown Environments. ECML PKDD 2016 - European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2016, Riva Del Garda, Italy. pp.282-298, ⟨10.1007/978-3-319-46227-1_18⟩. ⟨hal-01357953⟩
Ludovic dos Santos, Benjamin Piwowarski, Patrick Gallinari. Multilabel classification on heterogeneous graphs with gaussian embeddings. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, Sep 2016, Riva del garda, Italy. ⟨hal-01352911⟩
Lynda Tamine, Laure Soulier. Collaborative Information Retrieval: Frameworks, Theoretical Models, and Emerging Topics. 2nd ACM International Conference on the Theory of Information Retrieval (ICTIR 2016), Sep 2016, Newark, DE, United States. ⟨10.1145/2970398.2970442⟩. ⟨hal-01348916⟩
Lamjed Ben Jabeur, Laure Soulier, Lynda Tamine, Paul Mousset. A Product Feature-based User-Centric Ranking Model for E-Commerce Search. 7th Conference and Labs of the Evaluation Forum (CLEF 2016): "Information Access Evaluation meets Multilinguality, Multimodality and Interaction", Sep 2016, Evora, Portugal. ⟨hal-01349111⟩
Lamjed Ben Jabeur, Laure Soulier, Paul Mousset, Lynda Tamine. Living Ranking: from online to real-time information retrieval evaluation. Conference and Labs of the Evaluation Forum (CLEF 2016): "Information access Evaluation meets Multilinguality, Multimodality and Interaction", Sep 2016, Evora, Portugal. ⟨hal-01349114⟩
Gia-Hung Nguyen, Lynda Tamine, Laure Soulier, Nathalie Bricon-Souf. Toward a Deep Neural Approach for Knowledge-Based IR. Workshop on Neural Information Retrieval during the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016), Jul 2016, Pise, Italy. ⟨hal-01348993⟩
Lynda Tamine, Laure Soulier, Lamjed Ben Jabeur, Frédéric Amblard, Chihab Hanachi, et al.. Social Media-Based Collaborative Information Access: Analysis of Online Crisis-Related Twitter Conversations. 27th ACM Conference on Hypertext and Social Media (HT 2016), ACM: Association for Computing Machinery, Jul 2016, Halifax, Nova Scotia, Canada. pp.159 - 168, ⟨10.1145/2914586.2914589⟩. ⟨hal-03597237⟩
Michael Blot, Marie-Jeanne Lesot, Marcin Detyniecki. Transformation-based constraint-guided Generalised Modus Ponens. IEEE International Conference on Fuzzy Systems (FuzzIEEE'16), Jul 2016, Vancouver, Canada. ⟨hal-01556772⟩
Thibaut Durand, Nicolas Thome, Matthieu Cord. WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks. 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Jun 2016, Las Vegas, NV, United States. ⟨hal-01343785⟩
Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari. Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach.. Tenth International Conference on Web and Social Media, ICWSM 2016, May 2016, Cologne, Germany. pp.130-139. ⟨hal-01355400⟩
Lynda Tamine, Laure Soulier. Collaborative Information Retrieval: Concepts, Models and Evaluation. Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Mar 2016, Padua, Italy. pp.885-888, ⟨10.1007/978-3-319-30671-1_86⟩. ⟨hal-01296314⟩
Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari. Bandit Contextuel pour la Capture de Données Temps Réel sur les Médias Sociaux. Semaine du Document Numérique et de la Recherche d'Information (SDNRI 2016), Mar 2016, Toulouse, France. pp.57-72. ⟨hal-01355408⟩
Simon Bourigault, Sylvain Lamprier, Patrick Gallinari. Apprentissage de Représentations Probabilistes pour la Prédiction de Diffusions d’Informations sur les Réseaux Sociaux. COnférence en Recherche d'Information et Applications 2016 (CORIA), Mar 2016, Toulouse, France. pp.89-104. ⟨hal-01316884⟩
Nicolas Despres, Sylvain Lamprier, Benjamin Piwowarski. Apprentissage de Modèles de Langue Neuronaux pour la Recherche d'Information. Conférence en Recherche d'Infomations et Applications, Mar 2016, Toulouse, France. pp.717-732. ⟨hal-01358680⟩
Zeljko Kraljevic, Nicolas Baskiotis, Benjamin Piwowarski, Patrick Gallinari. Représentation temporelle des mots : application au clustering de micro-blogs.. Conférence en Recherche d'Infomations et Applications, Mar 2016, Toulouse, France. pp.531-544. ⟨hal-01358679⟩
Laure Soulier, Lamjed Ben Jabeur, Paul Mousset, Lynda Tamine. Quels facteurs de pertinence pour la recherche de produits e-commerce ?. CORIA 2016 - Conférence en Recherche d'Informations et Applications- 13th French Information Retrieval Conference. CIFED 2016 Colloque International Francophone sur l'Ecrit et le Document, Mar 2016, Toulouse, France. ⟨hal-01296325⟩
Simon Bourigault, Sylvain Lamprier, Patrick Gallinari. Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model. International Conference on Web Search and Data Mining, Feb 2016, San Francisco, United States. pp.573-582, ⟨10.1145/2835776.2835817⟩. ⟨hal-01316795⟩
Marion Chevalier, Nicolas Thome, Matthieu Cord, Jérôme Fournier, Gilles Henaff, et al.. LOW RESOLUTION CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC TARGET RECOGNITION. 7th International Symposium on Optronics in Defence and Security, Feb 2016, Paris, France. ⟨hal-01332061⟩
Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer. Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN, 2016, Unknown, Unknown Region. ⟨hal-01357554⟩
Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari. Smart card in public transportation: designing a analysis system at the human scale. ITSC, IEEE, 2016, Rio de Janeiro, Brazil. ⟨hal-01356346⟩
Olivier Schwander, Stéphane Marchand-Maillet, Frank Nielsen. Comix: Joint Estimation and Lightspeed Comparison of Mixture Models. ICASSP 2016, 2016, Shanghai, China. ⟨10.1109/ICASSP.2016.7472117⟩. ⟨hal-01367923⟩
Aurélia Léon, Ludovic Denoyer. Policy-gradient methods for Decision Trees. ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2016, Unknown, Unknown Region. ⟨hal-01357555⟩
Damien Sileo, Vincent Guigue. Apprentissage relationnel pour la recommandation et la prédiction de données manquantes. CAp, 2016, Marseille, France. ⟨hal-01356356⟩
Ali Ziat, Bertrand Leroy, Nicolas Baskiotis, Ludovic Denoyer. Joint prediction of road-traffic and parking occupancy over a city with representation learning. 19th IEEE International Conference on Intelligent Transportation Systems, 2016, Rio de Janeiro, Brazil. ⟨10.1109/ITSC.2016.7795634⟩. ⟨hal-01568009⟩
Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari. Recommandation et analyse de sentiments dans un espace latent textuel. CORIA, 2016, Toulouse, France. ⟨hal-01356349⟩
Gabriella Contardo, Ludovic Denoyer, Thierry Artières. Sequential Cost-Sensitive Feature Acquisition. IDA 2016, 2016, Unknown, Unknown Region. ⟨hal-01357556⟩
Elie Guardia-Sebaoun, Vincent Guigue, Patrick Gallinari. Apprentissage de trajectoires temporelles pour la recommandation dans les communautés d’utilisateurs. CAp, 2016, Marseille, France. ⟨hal-01356351⟩
Thibaut Durand, Nicolas Thome, Matthieu Cord. MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking. IEEE International Conference on Computer Vision (ICCV15), Dec 2015, Santiago, Chile. ⟨hal-01343784⟩
Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari. Policies for Contextual Bandit Problems with Count Payoffs.. 27th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2015, Nov 2015, Vietri Sul Mare, Italy. pp.542-549, ⟨10.1109/ICTAI.2015.85⟩. ⟨hal-01355404⟩
Raphael Puget, Nicolas Baskiotis. Hierarchical Label Partitioning for Large Scale Classification. IEEE International Conference on Data Science and Advanced Analytics, DSAA'2015, Oct 2015, Paris, France. ⟨hal-01207430⟩
Marion Chevalier, Nicolas Thome, Matthieu Cord, Jérôme Fournier, Gilles Henaff, et al.. LR-CNN FOR FINE-GRAINED CLASSIFICATION WITH VARYING RESOLUTION. IEEE International Conference on Image Processing, Sep 2015, Québec city, Canada. ⟨hal-01196958⟩
Mickaël Poussevin, Vincent Guigue, Patrick Gallinari. Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. 2nd Workshop on New Trends in Content-Based Recommender Systems, ACM RecSys, Sep 2015, Vienna, Austria. pp.34-41. ⟨hal-02503478⟩
Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari. Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation. CLEF 2015 - Conference and Labs of the Evaluation forum, Sep 2015, Toulouse, France. ⟨hal-01358685⟩
Sylvain Lamprier, Simon Bourigault, Patrick Gallinari. Extracting Diffusion Channels from Real-World Social Data: a Delay-Agnostic Learning of Transmission Probabilities. International Conference on Advances in Social Networks Analysis and Mining 2015, Aug 2015, Paris, France. ⟨10.1145/2808797.2808865⟩. ⟨hal-01316820⟩
Luc-Aurélien Gauthier, Patrick Gallinari, Benjamin Piwowarski. Leveraging Rating Behavior to Predict Negative Social Ties. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Aug 2015, Paris, France. pp.623-628, ⟨10.1145/2808797.2809402⟩. ⟨hal-01358683⟩
Raphael Puget, Nicolas Baskiotis, Patrick Gallinari. Sequential Dynamic Classification for Large Scale Multiclass Problems. Extreme Classification Workshop at ICML, Jul 2015, Lille, France. ⟨hal-01207428⟩
Xin Wang, Devinder Kumar, Nicolas Thome, Matthieu Cord, Frederic Precioso. RECIPE RECOGNITION WITH LARGE MULTIMODAL FOOD DATASET. IEEE International Conference on Multimedia & Expo (ICME), workshop CEA, Jun 2015, Turin, Italy. ⟨10.1109/ICMEW.2015.7169757⟩. ⟨hal-01196959⟩
Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stephane Herbin, Martial Sanfourche. Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning. 6th international Workshop on Computer Vision in Vehicle Technology, Jun 2015, CHICAGO, United States. ⟨hal-01198673⟩
Thibault Gisselbrecht, Patrick Gallinari, Sylvain Lamprier, Ludovic Denoyer. WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media. Ninth International Conference on Web and Social Media, ICWSM 2015, May 2015, Oxford, United Kingdom. pp.130-139. ⟨hal-01355397⟩
Luepol Pipanmaekaporn, Ludmilla Tajtelbom, Vincent Guigue, Thierry Artières. Designing semantic feature spaces for brain-reading. ESANN 2015 - 23rd European Symposium on Artificial Neural Networks, Apr 2015, Bruges, Belgium. pp.433-438. ⟨hal-01196369⟩
Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari. Polarité des jugements et des interactions pour le filtrage collaboratif et la prédiction de liens sociaux. CORIA 2015 - Conférence en Recherche d'Infomations et Applications - 12th French Information Retrieval Conference, Mar 2015, Paris, France. pp.139-154. ⟨hal-01358684⟩
Mickaël Poussevin, Vincent Guigue, Patrick Gallinari. Extraction d'un vocabulaire de surprise par mélange de filtrage collaboratif et d'analyse de sentiments.. CORIA 2015 - 12ème Conférence en Recherche d'Informations et Applications, Mar 2015, Paris, France. pp.123-138, ⟨10.24348/coria.2015.21⟩. ⟨hal-02503479⟩
Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier. Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux.. CORIA 2015 - Conférence en Recherche d'Infomations et Applications, Mar 2015, Paris, France. pp.7-22. ⟨hal-01355405⟩
Marc Teva Law, Nicolas Thome, Stéphane Gançarski, Matthieu Cord. Apprentissage de métrique appliqué à la détection de changement de page Web et aux attributs relatifs. CORIA 2015 - Conférence en Recherche d'Infomations et Applications - 12th French Information Retrieval Conference, Mar 2015, Paris, France. ⟨hal-01500746⟩
Elie Guardia-Sebaoun, Vincent Guigue, Patrick Gallinari. Latent Trajectory Modeling: a Light and Efficient Way to Introduce Time in Recommender Systems. RecSys, ACM, 2015, Vienne, Austria. ⟨hal-01356361⟩
Aurélia Léon, Ludovic Denoyer. Reinforced Decision Trees. European Workshop on Reinforcement Learning - EWRL, 2015, Unknown, Unknown Region. ⟨hal-01357557⟩
Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer. Car-traffic forecasting: A representation learning approach. Workshop MUD, Mining Urban Data 201, 2015, Unknown, Unknown Region. ⟨hal-01357558⟩
Thibaut Durand, Nicolas Thome, Matthieu Cord, David Picard. Incremental learning of latent structural SVM for weakly supervised image classification. IEEE International Conference on Image Processing, Oct 2014, Paris, France. pp.4246-4250, ⟨10.1109/ICIP.2014.7025862⟩. ⟨hal-01077058⟩
Thibaut Durand, David Picard, Nicolas Thome, Matthieu Cord. SEMANTIC POOLING FOR IMAGE CATEGORIZATION USING MULTIPLE KERNEL LEARNING. IEEE International Conference on Image Processing, Oct 2014, Paris, France. ⟨hal-01077046⟩
Elie Guàrdia Sebaoun, Vincent Guigue, Patrick Gallinari. Recommandation Dynamique dans les Graphes Géographiques. MARAMI 2014 : 5ième conférence sur les modèles et l'analyse des réseaux : Approches mathématiques et informatiques, Oct 2014, Paris, France. ⟨hal-02503481⟩
Mickaël Poussevin, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari. Mining ticketing logs for usage characterization with nonnegative matrix factorization. SenseML 2014 -- ECML Workshop, Sep 2014, Nancy, France. ⟨hal-01070359⟩
Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stéphane Herbin, Martial Sanfourche. Global Robot Ego-localization Combining Image Retrieval and HMM-based Filtering. 6th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, Sep 2014, Chicago, United States. 6 p. ⟨hal-01069869⟩
Luca Rubini, Rossella Cancelliere, Patrick Gallinari, Andrea Grosso, Antonino Raiti. Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices. AIMSA 2014 - 16th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, Sep 2014, Varna, Bulgaria. pp.236--245, ⟨10.1007/978-3-319-10554-3_24⟩. ⟨hal-01524739⟩
Sylvain Lamprier, Tewfik Ziadi, Nicolas Baskiotis, Lom Messan Hillah. Exact and Efficient Temporal Steering of Software Behavioral Model Inference. 19th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS), Aug 2014, Tianjin, China. pp.166-175, ⟨10.1109/ICECCS.2014.31⟩. ⟨hal-01217268⟩
Mickaël Poussevin, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari. Factorisation matricielle sous contraintes pour l'analyse des usages du métro parisien. CAp'2014 : Conférence d'Apprentissage Automatique, Jul 2014, Saint-Etienne, France. ⟨hal-01070099⟩
Mathieu Radenen, Pierrick Milhorat, Thierry Artières, Jérôme Boudy, Gérard Chollet. Etude des HMMs paramétriques pour la reconnaissance de parole en environnement bruité. JEP 2014 : 30e Journées d'Etude sur la Parole, Jun 2014, Le Mans, France. pp.466 - 474. ⟨hal-01263482⟩
Marc T Law, Nicolas Thome, Matthieu Cord. Fantope Regularization in Metric Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2014, Columbus, Ohio, United States. pp.1051 - 1058, ⟨10.1109/CVPR.2014.138⟩. ⟨hal-01094074⟩
Maria Laura Maag, Ludovic Denoyer, Patrick Gallinari. Graph Anonymization using Machine Learning. 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, May 2014, Victoria, Canada. pp.1111-1118, ⟨10.1109/AINA.2014.20⟩. ⟨hal-01060592⟩
Gabriel Dulac-Arnold, Ludovic Denoyer, Nicolas Thome, Matthieu Cord, Patrick Gallinari. Sequentially Generated Instance-Dependent Image Representations for Classification. International Conference on Learning Representations, ICLR 2014, Apr 2014, Banff, Canada. ⟨hal-01215181⟩
Mickaël Poussevin, Elie Guardia-Sebaoun, Vincent Guigue, Patrick Gallinari. Recommandation par combinaison de filtrage collaboratif et d'analyse de sentiments. CORIA 2014 - COnférence en Recherche d’Information et Applications, Mar 2014, Nancy, France. pp.27-42. ⟨hal-00965405⟩
Simon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari. Apprentissage de représentation pour la diffusion d'Information dans les réseaux sociaux. COnférence en Recherche d'Information et Applications 2014, CORIA 2014, Mar 2014, Nancy, France. pp.155-170. ⟨hal-01211789⟩
Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari. Filtrage collaboratif et intégration de la polarité des notes. Conférence en Recherche d'Infomations et Applications - 11th French Information Retrieval Conference, Mar 2014, Nancy, France. pp.11-26. ⟨hal-01358686⟩
Yu Ding, Thierry Artières, Catherine Pelachaud. Laughing Body. WACAI, Feb 2014, Rouen, France. ⟨hal-01203795⟩
Simon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari. Learning social network embeddings for predicting information diffusion. The 7th ACM international conference on Web search and data mining, Feb 2014, New York, United States. pp.393-402, ⟨10.1145/2556195.2556216⟩. ⟨hal-01211783⟩
Yann Jacob, Ludovic Denoyer, Patrick Gallinari. Learning latent representations of nodes for classifying in heterogeneous social networks. The 7th ACM international conference on Web search and data mining, Feb 2014, New York City, United States. pp.373--382, ⟨10.1145/2556195.2556225⟩. ⟨hal-01212733⟩
Debora Nozza, Daniele Maccagnola, Vincent Guigue, Enza Messina, Patrick Gallinari. A latent representation model for sentiment analysis in heterogeneous social networks. International Conference on Software Engineering and Formal Methods, 2014, Grenoble, France. pp.201-213, ⟨10.1007/978-3-319-15201-1_13⟩. ⟨hal-02503482⟩
Ludovic Denoyer, Patrick Gallinari. Deep Sequential Neural Networks. EWRL 2015 - Workshop Deep Learning NIPS 2014, 2014, Unknown, Unknown Region. ⟨hal-01357560⟩
Raphael Puget, Nicolas Baskiotis, Patrick Gallinari. Scalable Learnability Measure for Hierarchical Learning in Large Scale Multi-Class Classification. WSDM Workshop Web-Scale Classification: Classifying Big Data from the Web, 2014, New York, United States. ⟨hal-01068413⟩
Guthemberg Silvestre, Sébastien Monnet, David Buffoni, Pierre Sens. Predicting Popularity and Adapting Replication of Internet Videos for High-Quality Delivery. ICPADS 2013 - 19th IEEE International Conference on Parallel and Distributed Systems, Dec 2013, Seoul, South Korea. pp.412-419, ⟨10.1109/ICPADS.2013.64⟩. ⟨hal-00930200⟩
Moustapha Cisse, Nicolas Usunier, Thierry Artières, Patrick Gallinari. Robust Bloom Filters for Large MultiLabel Classification Tasks. Advances in Neural Information Processing Systems 26, Dec 2013, Lake Tahoe, United States. pp.1851-1859. ⟨hal-00942742⟩
Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim. Top-Down Regularization of Deep Belief Networks. Advances in Neural Information Processing Systems 26, Dec 2013, Lake Tahoe, United States. pp.1878-1886. ⟨hal-00947569⟩
Marc T Law, Nicolas Thome, Matthieu Cord. Quadruplet-Wise Image Similarity Learning. IEEE International Conference on Computer Vision (ICCV), Dec 2013, Sydney, Australia. pp.249 - 256, ⟨10.1109/ICCV.2013.38⟩. ⟨hal-01094069⟩
Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari. Multiview Semi-Supervised Ranking for Automatic Image Annotation. ACM International Conference on Multimedia, Oct 2013, Barcelone, Spain. pp.513-516, ⟨10.1145/2502081.2502136⟩. ⟨hal-00881259⟩
Thibaut Durand, Nicolas Thome, Matthieu Cord, Sandra Avila. Image classification using object detectors. IEEE International Conference on Image Processing, Sep 2013, Melbourne, Australia. pp.4340 - 4344, ⟨10.1109/ICIP.2013.6738894⟩. ⟨hal-01078079⟩
Yu Ding, Catherine Pelachaud, Thierry Artières. Modeling Multimodal Behaviors from Speech Prosody. IVA 2013 - 13th International Conference on Intelligent Virtual Agents, Aug 2013, Edinburgh, United Kingdom. pp.217-228, ⟨10.1007/978-3-642-40415-3_19⟩. ⟨hal-02412034⟩
Sandra Avila, Nicolas Thome, Matthieu Cord, Eduardo Valle, Arnaldo de Albuquerque Araújo. Extended Bag-of-Words Formalism for Image Classification. Brazilian Symposium on Computer Graphics and Image Processing, Aug 2013, Arequipa, Peru. ⟨hal-01216114⟩
Ricardo Lage, Ludovic Denoyer, Patrick Gallinari, Peter Dolog. Choosing which message to publish on social networks: A Contextual bandit approach. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, Aug 2013, Niagara Falls, Ontario, Canada. pp.620-627. ⟨hal-01215178⟩
Sylvain Lamprier, Nicolas Baskiotis, Tewfik Ziadi, Lom Messan Hillah. CARE: a platform for reliable Comparison and Analysis of Reverse-Engineering techniques. 18th IEEE International Conference on Engineering of Complex Computer Systems -- ICECCS, Jul 2013, Singapore, Singapore. pp.252-255, ⟨10.1109/ICECCS.2013.44⟩. ⟨hal-01216087⟩
Christian Theriault, Nicolas Thome, Matthieu Cord. Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis.. IEEE Conference on Computer Vision and Pattern Recognition, Jun 2013, Portland, OR, United States. pp.2603-2610, ⟨10.1109/CVPR.2013.336⟩. ⟨hal-01216646⟩
Elie Guardia-Sebaoun, Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari. Cross-Media Sentiment Classification and Application to Box-Office Forecasting. the 10th Conference on Open Research Areas in Information Retrieval (OAIR '13), May 2013, Lisbon, Portugal. pp.201-208. ⟨hal-01203008⟩
Jules Françoise, Ianis Lallemand, Thierry Artières, Frédéric Bevilacqua, Norbert Schnell, et al.. Perspectives pour l'apprentissage interactif du couplage geste-son. Journées d'Informatique Musicale (JIM 2013), May 2013, PARIS, France. pp.77-84. ⟨hal-00847207⟩
Yu Ding, Mathieu Radenen, Thierry Artières, Catherine Pelachaud. Speech-driven eyebrow motion synthesis with contextual Markovian models. IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, May 2013, Vancouver, Canada. pp.3756-3760, ⟨10.1109/icassp.2013.6638360⟩. ⟨hal-01215185⟩
Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari. Classification de Sentiments Multi-Domaines en Contexte Hétérogène et Passage à l'Echelle. CORIA 2013 - 10ème Conférence en Recherche d'Informations et Applications, Apr 2013, Neuchâtel, Suisse. pp.117-124, ⟨10.24348/coria.2013.coria2013_33⟩. ⟨hal-01202849⟩
Yann Jacob, Ludovic Denoyer, Patrick Gallinari. Classification dans les graphes hétérogénes basée sur une représentation latente des noeuds. CORIA 2013, Apr 2013, Neuchâtel, Suisse. pp.85-100. ⟨hal-00823267⟩
Sheng Gao, Ludovic Denoyer, Patrick Gallinari, Jun Guo. Latent factor blockmodel for modelling relational data. 35th European Conference on IR Research, ECIR 2013, Mar 2013, Moscou, Russia. pp.447-458, ⟨10.1007/978-3-642-36973-5_38⟩. ⟨hal-01357563⟩
Cédric Lagnier, Ludovic Denoyer, Eric Gaussier, Patrick Gallinari. Predicting Information Diffusion in Social Networks using Content and User's Profiles. 35th European Conference on IR Research, ECIR 2013, Mar 2013, Moscou, Russia. pp.74-85, ⟨10.1007/978-3-642-36973-5_7⟩. ⟨hal-00881524⟩

Poster9 documents

Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari. PDE-Driven Spatiotemporal Disentanglement. The Ninth International Conference on Learning Representations, May 2021, Vienne (virtual), Austria. . ⟨hal-03181039⟩
Hatem Hajri, Manon Césaire, Théo Combey, Sylvain Lamprier, Patrick Gallinari. Stochastic sparse adversarial attacks. Workshop DEEL (2021), 2021, En visio, France. ⟨hal-03878093⟩
Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi. Unsupervised Scalable Representation Learning for Multivariate Time Series. Hanna Wallach; Hugo Larochelle; Alina Beygelzimer; Florence d'Alché-Buc; Emily Fox; Roman Garnett. Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. Curran Associates, Inc., 32, Advances in Neural Information Processing Systems. ⟨hal-02320167v2⟩
Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stéphane Herbin, Martial Sanfourche. EXEMPLAR BASED METRIC LEARNING FOR ROBUST VISUAL LOCALIZATION. IEEE International Conference on Image Processing, ICIP 2015, Sep 2015, Québec, Canada. pp.388-w6mP-151, 2015. ⟨hal-01198662⟩
Georgios Balikas, Nicolas Baskiotis. Detecting Influence in User-Activity Logs. International Conference on Computational Social Science (ICCSS), 2015, Helsinki, Finland. 2015. ⟨hal-01364100⟩
Ludovic Denoyer, Patrick Gallinari. Deep Sequential Neural Network. Deep Learning and Representation Learning Workshop, NIPS 2014, Dec 2014, Montreal, Canada. ⟨hal-01222608⟩
Gabriella Contardo, Ludovic Denoyer, Thierry Artières. Representation Learning for cold-start recommendation. ICLR, Apr 2014, Banff, Canada. 2014. ⟨hal-01357559⟩
Gabriella Contardo, Ludovic Denoyer, Thierry Artières, Patrick Gallinari. Learning States Representations in POMDP. International Conference on Learning Representations, ICLR 2014, Apr 2014, Banff, Canada. 2014. ⟨hal-01222594⟩
Cédric Lagnier, Simon Bourigault, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari. Learning Information Spread in Content Networks. ICLR 2014 - International Conference on Learning Representations, Apr 2014, Banff, Canada. pp.abs/1312.6169, 2014, CoRR. ⟨hal-01357961⟩

Ouvrage (y compris édition critique et traduction)1 document

Marc Sebban, Ludovic Denoyer, Amaury Habrard. Proceddings of 16ème Conférence d’Apprentissage CAp’2014. 2014. ⟨hal-01357561⟩

Chapitre d'ouvrage5 documents

Stephan Clémençon, Nicolas Baskiotis, Nicolas Vayatis. Anomaly Ranking in a High Dimensional Space: The Unsupervised TreeRank Algorithm. Celebi, Emre M.; Aydin, Kemal. Unsupervised Learning Algorithms, Springer International Publishing, pp.33--54, 2016, 978-3-319-24211-8. ⟨10.1007/978-3-319-24211-8_2⟩. ⟨hal-01364091⟩
Mickaël Poussevin, Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari. Mining ticketing logs for usage characterization with nonnegative matrix factorization. Big Data Analytics in the Social and Ubiquitous Context, 9546, Springer, pp.147-164, 2016, Lecture Notes in Computer Science, 978-3-319-29008-9. ⟨hal-01356359⟩
Marc Teva Law, Nicolas Thome, Matthieu Cord. Bag-of-Words Image Representation: Key Ideas and Further Insight. Fusion in Computer Vision - Understanding Complex Visual Content, Springer, pp.29-52, 2014, Advances in Computer Vision and Pattern Recognition, ⟨10.1007/978-3-319-05696-8_2⟩. ⟨hal-01221734⟩
Frédéric Pichon, Christophe Labreuche, Bertrand Duqueroie, Thomas Delavallade. Approche multidimensionnelle pour l'évaluation de la fiabilité de sources d'information. Confiance et défiance envers l'information : concepts, besoins, méthodes et perspective, Hermès, pp.147-170, 2013. ⟨hal-03520313⟩
Marie-Jeanne Lesot, Frédéric Pichon, Thomas Delavallade. Cotation quantitative de l'information : modélisation et évaluation expérimentale. Confiance et défiance envers l'information : concepts, besoins, méthodes et perspective, Hermès, pp.195-231, 2013. ⟨hal-01221608⟩

Pré-publication, Document de travail16 documents

Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord. DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion. 2021. ⟨hal-03503836⟩
Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord. Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation. 2021. ⟨hal-03503834⟩
Nathan Grinsztajn, Louis Leconte, Philippe Preux, Edouard Oyallon. Interferometric Graph Transform for Community Labeling. 2021. ⟨hal-03247781⟩
Eugene Belilovsky, Louis Leconte, Lucas Caccia, Michael Eickenberg, Edouard Oyallon. Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning. 2021. ⟨hal-03247753⟩
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano. Discriminative Adversarial Search for Abstractive Summarization. 2020. ⟨hal-02989018⟩
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano. ColdGANs: Taming Language GANs with Cautious Sampling Strategies. 2020. ⟨hal-02989016⟩
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano. MLSUM: The Multilingual Summarization Corpus. 2020. ⟨hal-02989017⟩
Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Julien Brajard, Patrick Gallinari. Learning Dynamical Systems from Partial Observations. 2019. ⟨hal-02418376⟩
Emmanuel de Bezenac, Arthur Pajot, Patrick Gallinari. Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge. 2019. ⟨hal-02418362⟩
Sylvain Lamprier. A Variational Topological Neural Model for Cascade-based Diffusion in Networks. 2019. ⟨hal-02074997⟩
Gabriella Contardo, Ludovic Denoyer, Thierry Artières. A Meta-Learning Approach to One-Step Active Learning. 2018. ⟨hal-01690004⟩
Mickaël Chen, Ludovic Denoyer, Thierry Artières. Multi-View Data Generation Without View Supervision. 2018. ⟨hal-01689997⟩
Benjamin Piwowarski, Sylvain Lamprier, Nicolas Desprès. Parameterized Neural Network Language Models for Information Retrieval. 2015. ⟨hal-01357956⟩
Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis, Thierry Artières, George Paliouras, et al.. LSHTC: A Benchmark for Large-Scale Text Classification. 2015. ⟨hal-01691460⟩
Mickaël Poussevin, Vincent Guigue, Patrick Gallinari. Extended recommendation framework: Generating the text of a user review as a personalized summary. 2014. ⟨hal-02503483⟩
Sheng Gao, Ludovic Denoyer, Patrick Gallinari. Modeling Relational Data via Latent Factor Blockmodel. 2012. ⟨hal-00693841⟩

Rapport4 documents

Sharon Oviatt, Laure Soulier. Conversational Search Conversational Search for Learning Technologies. [Research Report] Arxiv. 2020. ⟨hal-02488525⟩
Wenjie Zheng, Aurélien Bellet, Patrick Gallinari. A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm. [Research Report] Inria Lille. 2017, pp.1-19. ⟨hal-01672066⟩
Olivier Dufour, Hervé Glotin, Pascale Giraudet, Thierry Artières, Yves Bas. Classification de signaux acoustiques : Classification de matrices cepstre par Support Vector Machine. [Rapport de recherche] LSIS. 2013. ⟨hal-01488786⟩
Olivier Dufour, Hervé Glotin, Pascale Giraudet, Thierry Artières, Yves Bas. Classification de signaux acoustiques : Recherche des valeurs optimales des 17 paramètres d'entrée de la fonction melfcc. [Rapport de recherche] LSIS. 2013. ⟨hal-01488785⟩

Thèse42 documents

Clara Gainon de Forsan de Gabriac. Deep Natural Language Processing for User Representation. Artificial Intelligence [cs.AI]. Sorbonne Université, 2021. English. ⟨NNT : 2021SORUS274⟩. ⟨tel-03545621⟩
Emmanuel de Bézenac. Modeling physical processes with deep learning : a dynamical systems approach. Artificial Intelligence [cs.AI]. Sorbonne Université, 2021. English. ⟨NNT : 2021SORUS203⟩. ⟨tel-03521354v2⟩
Tom Veniat. Neural Architecture Search under Budget Constraints. Machine Learning [cs.LG]. Sorbonne Université, 2021. English. ⟨NNT : 2021SORUS443⟩. ⟨tel-03727609⟩
Perrine Cribier-Delande. Contexts and user modeling through disentangled representations learning. Artificial Intelligence [cs.AI]. Sorbonne Université, 2021. English. ⟨NNT : 2021SORUS407⟩. ⟨tel-03651500⟩
Patrick Bordes. Deep Multimodal Learning for Joint Textual and Visual Reasoning. Machine Learning [cs.LG]. Sorbonne Université, 2020. English. ⟨NNT : 2020SORUS370⟩. ⟨tel-03951566v2⟩
Thomas Gerald. Representation Learning for Large Scale Classification. Machine Learning [cs.LG]. Sorbonne Université, 2020. English. ⟨NNT : 2020SORUS316⟩. ⟨tel-03987588⟩
Ahmed Mazari. Deep Learning for Action Recognition in Videos. Image Processing [eess.IV]. Sorbonne Université, 2020. English. ⟨NNT : ⟩. ⟨tel-02984082v2⟩
Yifu Chen. Deep learning for visual semantic segmentation. Machine Learning [cs.LG]. Sorbonne Université, 2020. English. ⟨NNT : 2020SORUS200⟩. ⟨tel-03462101⟩
Rémi Cadène. Deep Multimodal Learning for Vision and Language Processing. Computer Vision and Pattern Recognition [cs.CV]. Sorbonne Université, 2020. English. ⟨NNT : 2020SORUS277⟩. ⟨tel-03140942v2⟩
Daniel Brooks. Deep Learning and Information Geometry for Time-Series Classification. Machine Learning [cs.LG]. Sorbonne Université, 2020. English. ⟨NNT : 2020SORUS276⟩. ⟨tel-03984879⟩
Mickaël Chen. Learning with weak supervision using deep generative networks. Computer Vision and Pattern Recognition [cs.CV]. Sorbonne Université, 2020. English. ⟨NNT : 2020SORUS024⟩. ⟨tel-03153266⟩
Edouard Delasalles. Inferring and Predicting Dynamic Representations for Structured Temporal Data. Machine Learning [cs.LG]. Sorbonne Université, 2020. English. ⟨NNT : 2020SORUS296⟩. ⟨tel-03402021⟩
Martin Engilberge. Deep Inside Visual-Semantic Embeddings. Machine Learning [cs.LG]. Sorbonne Université, 2020. English. ⟨NNT : 2020SORUS150⟩. ⟨tel-03402492⟩
Arthur Pajot. Incorporating physical knowledge into deep neural network. Neural and Evolutionary Computing [cs.NE]. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS290⟩. ⟨tel-03015931⟩
Eloi Zablocki. Multimodal machine learning : complementarity of textual and visual contexts. Machine Learning [cs.LG]. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS409⟩. ⟨tel-03951535v2⟩
Thomas Robert. Improving Latent Representations of ConvNets for Visual Understanding. Artificial Intelligence [cs.AI]. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS343⟩. ⟨tel-02309812v2⟩
Emeric Tonnelier. Apprentissage de représentations pour les traces de mobilité. Apprentissage [cs.LG]. Sorbonne Université, 2019. Français. ⟨NNT : 2019SORUS389⟩. ⟨tel-03987797⟩
Hedi Ben-Younes. Multi-modal representation learning towards visual reasoning. Artificial Intelligence [cs.AI]. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS173⟩. ⟨tel-02196626v2⟩
Aurélia Léon. Apprentissage séquentiel budgétisé pour la classification extrême et la découverte de hiérarchie en apprentissage par renforcement. Intelligence artificielle [cs.AI]. Sorbonne Université, 2019. Français. ⟨NNT : 2019SORUS226⟩. ⟨tel-02954134⟩
Micael Carvalho. Deep representation spaces. Artificial Intelligence [cs.AI]. Sorbonne Université, 2018. English. ⟨NNT : 2018SORUS292⟩. ⟨tel-02503198⟩
Taylor Mordan. Conception d'architectures profondes pour l'interprétation de données visuelles. Computer Vision and Pattern Recognition [cs.CV]. Sorbonne Université, 2018. English. ⟨NNT : 2018SORUS270⟩. ⟨tel-02057434v2⟩
Michaël Blot. Study on training methods and generalization performance of deep learning for image classification. Artificial Intelligence [cs.AI]. Sorbonne Université, 2018. English. ⟨NNT : 2018SORUS412⟩. ⟨tel-02862841v2⟩
Wenjie Zheng. A distributed Frank-Wolfe framework for trace norm minimization via the bulk synchronous parallel model. Distributed, Parallel, and Cluster Computing [cs.DC]. Sorbonne Université, 2018. English. ⟨NNT : 2018SORUS049⟩. ⟨tel-02134166⟩
Ludovic dos Santos. Representation learning for relational data. Machine Learning [cs.LG]. Université Pierre et Marie Curie - Paris VI, 2017. English. ⟨NNT : 2017PA066480⟩. ⟨tel-01803188⟩
Ali Yazid Ziat. Apprentissage de représentation pour la prédiction et la classification de séries temporelles. Réseau de neurones [cs.NE]. Université Pierre et Marie Curie - Paris VI, 2017. Français. ⟨NNT : 2017PA066324⟩. ⟨tel-01724156⟩
Xin Wang. Gaze based weakly supervised localization for image classification : application to visual recognition in a food dataset. Human-Computer Interaction [cs.HC]. Université Pierre et Marie Curie - Paris VI, 2017. English. ⟨NNT : 2017PA066577⟩. ⟨tel-01912846⟩
Elie Guàrdia Sebaoun. Accès personnalisé à l'information : prise en compte de la dynamique utilisateur. Apprentissage [cs.LG]. Université Pierre et Marie Curie - Paris VI, 2017. Français. ⟨NNT : 2017PA066519⟩. ⟨tel-01823808⟩
Thibaut Durand. Weakly supervised learning for visual recognition. Artificial Intelligence [cs.AI]. Université Pierre et Marie Curie - Paris VI, 2017. English. ⟨NNT : 2017PA066142⟩. ⟨tel-01667325v2⟩
Gabriella Contardo. Machine learning under budget constraints. Machine Learning [cs.LG]. Université Pierre et Marie Curie - Paris VI, 2017. English. ⟨NNT : 2017PA066203⟩. ⟨tel-01677223⟩
Thibault Gisselbrecht. Algorithmes de bandits pour la collecte d’informations en temps réel dans les réseaux sociaux. Intelligence artificielle [cs.AI]. Université Pierre et Marie Curie - Paris VI, 2017. Français. ⟨NNT : 2017PA066655⟩. ⟨tel-03464538v2⟩
Marion Chevalier. Résolution variable et information privilégiée pour la reconnaissance d'images. Vision par ordinateur et reconnaissance de formes [cs.CV]. Université Pierre et Marie Curie - Paris VI, 2016. Français. ⟨NNT : 2016PA066726⟩. ⟨tel-01469763v2⟩
Simon Bourigault. Apprentissage de représentations pour la prédiction de propagation d'information dans les réseaux sociaux. Intelligence artificielle [cs.AI]. Université Pierre et Marie Curie - Paris VI, 2016. Français. ⟨NNT : 2016PA066368⟩. ⟨tel-01481311⟩
Raphael Puget. Etude de la classification dans un trés grand nombre de catégories.. Base de données [cs.DB]. Université Pierre et Marie Curie - Paris VI, 2016. Français. ⟨NNT : 2016PA066312⟩. ⟨tel-01469603⟩
Luc-Aurélien Gauthier. Inférence de liens signés dans les réseaux sociaux, par apprentissage à partir d'interactions utilisateur. Réseaux sociaux et d'information [cs.SI]. Université Pierre et Marie Curie - Paris VI, 2015. Français. ⟨NNT : 2015PA066639⟩. ⟨tel-01344612⟩
Cédric Le Barz. Navigation visuelle pour les missions autonomes des petits drones. Ingénierie assistée par ordinateur. Université Pierre et Marie Curie - Paris VI, 2015. Français. ⟨NNT : 2015PA066424⟩. ⟨tel-01552288v2⟩
Maria Coralia Laura Maag. Automatic Learning of Anonymization for Graphs and Dynamic Graphs. Other [cs.OH]. Université Pierre et Marie Curie - Paris VI, 2015. English. ⟨NNT : 2015PA066050⟩. ⟨tel-01146989⟩
Mickael Poussevin. Representation learning of user-generated data. Other [cs.OH]. Université Pierre et Marie Curie - Paris VI, 2015. English. ⟨NNT : 2015PA066040⟩. ⟨tel-01260338⟩
Marc Teva Law. Distance metric learning for image and webpage comparison. Other [cs.OH]. Université Pierre et Marie Curie - Paris VI, 2015. English. ⟨NNT : 2015PA066019⟩. ⟨tel-01135698v2⟩
Mathieu Radenen. Contextual Markovian Models. Modeling and Simulation. Université Pierre et Marie Curie - Paris VI, 2014. English. ⟨NNT : 2014PA066426⟩. ⟨tel-01137590⟩
Mouhamadou Moustapha Cisse. Efficient extreme classification. Data Structures and Algorithms [cs.DS]. Université Pierre et Marie Curie - Paris VI, 2014. English. ⟨NNT : 2014PA066594⟩. ⟨tel-01142046⟩
Hanlin Goh. Learning Deep Visual Representations. Machine Learning [cs.LG]. Université Pierre et Marie Curie - Paris VI, 2013. English. ⟨NNT : ⟩. ⟨tel-00948376⟩
Sandra Avila. EXTENDED BAG-OF-WORDS FORMALISM FOR IMAGE CLASSIFICATION. Computer Vision and Pattern Recognition [cs.CV]. Université Pierre et Marie Curie - Paris VI, 2013. English. ⟨NNT : ⟩. ⟨tel-00958547⟩

HDR2 documents

Benjamin Piwowarski. Learning Representation for Information Access. Information Retrieval [cs.IR]. Sorbonne Université, 2020. ⟨tel-02989039⟩
Sylvain Lamprier. Apprentissage et Inférence Structurelle pour l’Extraction de Dynamiques de l’Information. Apprentissage [cs.LG]. Sorbonne Universite, 2020. ⟨tel-03060061⟩

Publications

Contact

Disciplines

Mots-clefs

Auteurs

Revues

Année de production

Institutions

Laboratoires

Départements

Équipes de recherche

Article dans une revue66 documents

Communication dans un congrès259 documents

Poster9 documents

Ouvrage (y compris édition critique et traduction)1 document

Chapitre d'ouvrage5 documents

Pré-publication, Document de travail16 documents

Rapport4 documents

Thèse42 documents

HDR2 documents