Learning semantic representations using convolutional neural networks for web search

Yelong Shen, Xiaodong He, Jianfeng Gao, +2

Convolutional Neural NetworkEngineeringMachine LearningSearch QueriesSemantic Search +18

A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval

Yelong Shen, Xiaodong He, Jianfeng Gao, +2

Word SequencesEngineeringSemantic SearchSearch QueriesIntelligent Information Retrieval +18

Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding

Grégoire Mesnil, Yann Dauphin, Kaisheng Yao, +8

IEEE/ACM Transactions on Audio Speech and Language Processing

EngineeringMachine LearningSlot FillingSpoken Language ProcessingSpoken Dialog System +21

Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding

Grégoire Mesnil, Xiaodong He, Li Deng, +1

EngineeringMachine LearningSlot FillingSpoken Language ProcessingRecurrent Networks +18

Better Mixing via Deep Representations

Yoshua Bengio, Grégoire Mesnil, Yann Dauphin, +1

arXiv (Cornell University)

Deep RepresentationsGeometric LearningComputational ScienceEngineeringMachine Learning +11

Unsupervised and Transfer Learning Challenge: a Deep Learning Approach

Grégoire Mesnil, Yann Dauphin, Xavier Glorot, +10

International Conference on Machine Learning

Few-shot LearningEngineeringMachine LearningData ScienceFeature Learning +13

Better Mixing via Deep Representations

Yoshua Bengio, Grégoire Mesnil, Yann Dauphin, +1

arXiv (Cornell University)

Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews

Grégoire Mesnil, Tomáš Mikolov, Marc’Aurelio Ranzato, +1

arXiv (Cornell University)

EngineeringMachine LearningMultimodal Sentiment AnalysisCorpus LinguisticsSentiment Analysis +20

Learning semantic representations of objects and their parts

Grégoire Mesnil, Antoine Bordes, Jason Weston, +2

Machine Learning

Natural Language ProcessingEngineeringMachine LearningObject CategorizationPattern Recognition +6

Learning invariant features through local space contraction

Salah Rifai, Xavier Muller, Xavier Glorot, +3

arXiv (Cornell University)

Geometric LearningEngineeringMachine LearningAutoencodersLocalization +18