A latent semantic model with convolutional-pooling structure for information retrieval Y Shen, X He, J Gao, L Deng, G Mesnil Proceedings of the 23rd ACM international conference on conference on …, 2014 | 872 | 2014 |
Learning semantic representations using convolutional neural networks for web search Y Shen, X He, J Gao, L Deng, G Mesnil Proceedings of the 23rd international conference on world wide web, 373-374, 2014 | 865 | 2014 |
Using recurrent neural networks for slot filling in spoken language understanding G Mesnil, Y Dauphin, K Yao, Y Bengio, L Deng, D Hakkani-Tur, X He, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (3), 530-539, 2014 | 776 | 2014 |
Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding. G Mesnil, X He, L Deng, Y Bengio Interspeech, 3771-3775, 2013 | 603 | 2013 |
Better mixing via deep representations Y Bengio, G Mesnil, Y Dauphin, S Rifai International conference on machine learning, 552-560, 2013 | 452 | 2013 |
Assignment of semantic labels to a sequence of words using neural network architectures A Deoras, K Yao, X He, L Deng, GG Zweig, R Sarikaya, D Yu, MY Hwang, ... US Patent 10,867,597, 2020 | 298 | 2020 |
Unsupervised and transfer learning challenge: a deep learning approach G Mesnil, Y Dauphin, X Glorot, S Rifai, Y Bengio, I Goodfellow, E Lavoie, ... Proceedings of ICML Workshop on Unsupervised and Transfer Learning, 97-110, 2012 | 297 | 2012 |
Higher order contractive auto-encoder S Rifai, G Mesnil, P Vincent, X Muller, Y Bengio, Y Dauphin, X Glorot Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 286 | 2011 |
Ensemble of generative and discriminative techniques for sentiment analysis of movie reviews G Mesnil, T Mikolov, YB Marc’Aurelio Ranzato arXiv preprint arXiv:1412.5335, 2014 | 161 | 2014 |
Unsupervised learning of semantics of object detections for scene categorization G Mesnil, S Rifai, A Bordes, X Glorot, Y Bengio, P Vincent Pattern Recognition Applications and Methods: International Conference …, 2015 | 48 | 2015 |
Learning invariant features through local space contraction S Rifai, X Muller, X Glorot, G Mesnil, Y Bengio, P Vincent arXiv preprint arXiv:1104.4153, 2011 | 24 | 2011 |
Learning semantic representations of objects and their parts G Mesnil, A Bordes, J Weston, G Chechik, Y Bengio Machine learning 94, 281-301, 2014 | 22 | 2014 |
A convolutional latent semantic model for web search Y Shen, X He, J Gao, L Deng, G Mesnil Technical Report MSR-TR-2014-55, Microsoft Research, 2014 | 12 | 2014 |
Unsupervised and Transfer Learning under Uncertainty-From Object Detections to Scene Categorization. G Mesnil, S Rifai, A Bordes, X Glorot, Y Bengio, P Vincent ICPRAM, 345-354, 2013 | 12 | 2013 |
Apprentissage d'espaces sémantiques G Mesnil | | 2015 |
ENSEMBLE OF GENERATIVE AND DISCRIMINATIVE TECHNIQUES FOR SENTIMENT ANALYSIS OF MOVIE G Mesnil, T Mikolov, MA Ranzato, Y Bengio arXiv preprint arXiv:1412.5335, 2014 | | 2014 |
Unsupervised and Transfer Learning under Uncertainty G Mesnil, S Rifai, A Bordes, X Glorot, Y Bengio, P Vincent | | |