Bengio, Yoshua

Learning deep representations by mutual information estimation and maximization

Hjelm, R. D., Fedorov, A., Lavoie-Marchildon, S., Grewal, K., Bachman, P., Trischler, A., & Bengio, Y. (2018) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 1,991

Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Bengio, Y., Léonard, N., & Courville, A. (2013) · arXiv

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 1,910

Scientific discovery in the age of artificial intelligence.

Wang, H., Fu, T., Du, Y., Gao, W., Huang, K., Liu, Z., Chandak, P., Liu, S., Van Katwyk, P., Deac, A., et al. (2023) · Nature

Artificial Intelligence ApplicationsMachine Learning in Materials Science

Cited by 1,823

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Yang, Z., Qi, P., Zhang, S., Bengio, Y., Cohen, W., Salakhutdinov, R., & Manning, C. D. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Topic ModelingMultimodal Machine Learning Applications

Cited by 1,804

A Structured Self-attentive Sentence Embedding

Lin, Z., Feng, M., Santos, C. N. D., Yu, M., Xiang, B., Zhou, B., & Bengio, Y. (2017) · arXiv

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 1,743

Challenges in Representation Learning: A Report on Three Machine Learning Contests

Goodfellow, I. J., Erhan, D., Carrier, P. L., Courville, A., Mirza, M., Hamner, B., Cukierski, W., Tang, Y., Thaler, D., Lee, D.-H., et al. (2013) · Lecture Notes in Computer Science

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 1,719

NICE: Non-linear Independent Components Estimation

Dinh, L., Krueger, D., & Bengio, Y. (2014) · arXiv

Generative Adversarial Networks and Image SynthesisGaussian Processes and Bayesian Inference

Cited by 1,493

A Closer Look at Memorization in Deep Networks

Arpit, D., Jastrzębski, S., Ballas, N., Krueger, D., Bengio, E., Kanwal, M. S., Maharaj, T., Fischer, A., Courville, A., Bengio, Y., et al. (2017) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 1,307

Toward Causal Representation Learning

Scholkopf, B., Locatello, F., Bauer, S., Ke, N. R., Kalchbrenner, N., Goyal, A., & Bengio, Y. (2021) · Proceedings of the IEEE

Bayesian Modeling and Causal InferenceAdvanced Causal Inference Techniques

Cited by 1,170

An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Goodfellow, I. J., Mirza, M., Xiao, D., Courville, A., & Bengio, Y. (2013) · arXiv

Domain Adaptation and Few-Shot LearningNeural Networks and Applications

Cited by 1,089

A deep learning framework for neuroscience

Richards, B. A., Lillicrap, T. P., Beaudoin, P., Bengio, Y., Bogacz, R., Christensen, A., Clopath, C., Costa, R. P., de Berker, A., Ganguli, S., et al. (2019) · Nature Neuroscience

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 1,027

Theano: new features and speed improvements

Bastien, F., Lamblin, P., Pascanu, R., Bergstra, J., Goodfellow, I., Bergeron, A., Bouchard, N., Warde-Farley, D., & Bengio, Y. (2012) · arXiv

Parallel Computing and Optimization TechniquesNeural Networks and Applications

Cited by 1,005

Object Recognition with Gradient-Based Learning

LeCun, Y., Haffner, P., Bottou, L., & Bengio, Y. (1999) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsHandwritten Text Recognition Techniques

Cited by 947

Maxout Networks

Goodfellow, I. J., Warde-Farley, D., Mirza, M., Courville, A., & Bengio, Y. (2013) · arXiv

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 935

Speaker Recognition from Raw Waveform with SincNet

Ravanelli, M., & Bengio, Y. (2018) · 2018 IEEE Spoken Language Technology Workshop (SLT)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 896

On Using Very Large Target Vocabulary for Neural Machine Translation

Jean, S., Cho, K., Memisevic, R., & Bengio, Y. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 862

On the Number of Linear Regions of Deep Neural Networks

Montúfar, G., Pascanu, R., Cho, K., & Bengio, Y. (2014) · arXiv

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 840

Identifying and attacking the saddle point problem in high-dimensional non-convex optimization

Dauphin, Y., Pascanu, R., Gulcehre, C., Cho, K., Ganguli, S., & Bengio, Y. (2014) · arXiv

Stochastic Gradient Optimization TechniquesAdvanced Optimization Algorithms Research

Cited by 827

MelGAN: generative adversarial networks for conditional waveform synthesis

Kumar, K., Kumar, R., de Boissiere, T., Gestin, L., Teoh, W. Z., Sotelo, J., de Brebisson, A., Bengio, Y., & Courville, A. (2019) · arXiv

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 722

Challenges in representation learning: A report on three machine learning contests

Goodfellow, I. J., Erhan, D., Luc Carrier, P., Courville, A., Mirza, M., Hamner, B., Cukierski, W., Tang, Y., Thaler, D., Lee, D.-H., et al. (2015) · Neural Networks

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 697

A semantic matching energy function for learning with multi-relational data: Application to word-sense disambiguation

Bordes, A., Glorot, X., Weston, J., & Bengio, Y. (2014) · Machine Learning

Advanced Graph Neural NetworksTopic Modeling

Cited by 675

Gated Feedback Recurrent Neural Networks

Chung, J., Gulcehre, C., Cho, K., & Bengio, Y. (2015) · arXiv

Neural Networks and ApplicationsTopic Modeling

Cited by 583

SpeechBrain: A General-Purpose Speech Toolkit

Ravanelli, M., Parcollet, T., Plantinga, P., Rouhe, A., Cornell, S., Lugosch, L., Subakan, C., Dawalatabad, N., Heba, A., Zhong, J., et al. (2021) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 512

An Actor-Critic Algorithm for Sequence Prediction

Bahdanau, D., Brakel, P., Xu, K., Goyal, A., Lowe, R., Pineau, J., Courville, A., & Bengio, Y. (2016) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 423