Courville, Aaron

Generative adversarial networks

Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2020) · Communications of the ACM

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 18,384

Representation Learning: A Review and New Perspectives

Bengio, Y., Courville, A., & Vincent, P. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Neural Networks and ApplicationsFace and Expression Recognition

Cited by 13,001

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A., Salakhutdinov, R., Zemel, R., & Bengio, Y. (2015) · arXiv

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 8,248

Improved training of Wasserstein GANs

Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., & Courville, A. (2017) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 6,800

Generative Adversarial Networks

Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014) · arXiv

Generative Adversarial Networks and Image SynthesisTopic Modeling

Cited by 4,477

Brain tumor segmentation with Deep Neural Networks

Havaei, M., Davy, A., Warde-Farley, D., Biard, A., Courville, A., Bengio, Y., Pal, C., Jodoin, P.-M., & Larochelle, H. (2017) · Medical Image Analysis

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 3,278

Brain Tumor Segmentation with Deep Neural Networks

Havaei, M., Davy, A., Warde-Farley, D., Biard, A., Courville, A., Bengio, Y., Pal, C., Jodoin, P.-M., & Larochelle, H. (2015) · arXiv

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 3,278

Film: Visual reasoning with a general conditioning layer

Perez, E., Strub, F., De Vries, H., Dumoulin, V., & Courville, A. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 2,490

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

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

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

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

Describing Videos by Exploiting Temporal Structure

Yao, L., Torabi, A., Cho, K., Ballas, N., Pal, C., Larochelle, H., & Courville, A. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 1,035

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

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

Bayesian theories of conditioning in a changing world

Courville, A. C., Daw, N. D., & Touretzky, D. S. (2006) · Trends in Cognitive Sciences

Memory and Neural MechanismsBayesian Modeling and Causal Inference

Cited by 457

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

Out-of-Distribution Generalization via Risk Extrapolation (REx)

Krueger, D., Caballero, E., Jacobsen, J.-H., Zhang, A., Binas, J., Zhang, D., Priol, R. L., & Courville, A. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdversarial Robustness in Machine Learning

Cited by 407

Combining modality specific deep neural networks for emotion recognition in video

Kahou, S. E., Pal, C., Bouthillier, X., Froumenty, P., Gülçehre, Ç., Memisevic, R., Vincent, P., Courville, A., Bengio, Y., Ferrari, R. C., et al. (2013) · Proceedings of the 15th ACM on International conference on multimodal interaction

Emotion and Mood RecognitionFace recognition and analysis

Cited by 391

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus

Serban, I. V., García-Durán, A., Gulcehre, C., Ahn, S., Chandar, S., Courville, A., & Bengio, Y. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 280

Disentangling Factors of Variation for Facial Expression Recognition

Rifai, S., Bengio, Y., Courville, A., Vincent, P., & Mirza, M. (2012) · Lecture Notes in Computer Science

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 215

Representation and timing in theories of the dopamine system

Daw, N. D., Courville, A. C., & Touretzky, D. S. (2006) · Neural Computation

Neurotransmitter Receptor Influence on BehaviorNeural and Behavioral Psychology Studies

Cited by 173

Deep Reinforcement Learning at the Edge of the Statistical Precipice

Agarwal, R., Schwarzer, M., Castro, P. S., Courville, A., & Bellemare, M. G. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 142