Vincent, Pascal

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

Extracting and composing robust features with denoising autoencoders

Vincent, P., Larochelle, H., Bengio, Y., & Manzagol, P.-A. (2008) · Proceedings of the 25th international conference on Machine learning - ICML '08

Neural Networks and ApplicationsFace and Expression Recognition

Cited by 7,436

A Connection Between Score Matching and Denoising Autoencoders

Vincent, P. (2011) · Neural Computation

Neural Networks and ApplicationsTopic Modeling

Cited by 1,011

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

Assran, M., Duval, Q., Misra, I., Bojanowski, P., Vincent, P., Rabbat, M., LeCun, Y., & Ballas, N. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 456

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

Generalized Denoising Auto-Encoders as Generative Models

Bengio, Y., Yao, L., Alain, G., & Vincent, P. (2013) · arXiv

Neural Networks and ApplicationsGaussian Processes and Bayesian Inference

Cited by 324

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

Artificial Neural Networks Applied to Taxi Destination Prediction

de Brébisson, A., Simon, É., Auvolat, A., Vincent, P., & Bengio, Y. (2015) · arXiv

Traffic Prediction and Management TechniquesData Management and Algorithms

Cited by 137

Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition

Zhang, Z., Romero, A., Muckley, M. J., Vincent, P., Yang, L., & Drozdzal, M. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced MRI Techniques and ApplicationsImage and Signal Denoising Methods

Cited by 106

The Hidden Uniform Cluster Prior in Self-Supervised Learning

Assran, M., Balestriero, R., Duval, Q., Bordes, F., Misra, I., Bojanowski, P., Vincent, P., Rabbat, M., & Ballas, N. (2022) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 18

The Z-loss: a shift and scale invariant classification loss belonging to the Spherical Family

de Brébisson, A., & Vincent, P. (2016) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 3

The Pitfalls of Memorization: When Memorization Hurts Generalization

Bayat, R., Pezeshki, M., Dohmatob, E., Lopez-Paz, D., & Vincent, P. (2024) · arXiv

Domain Adaptation and Few-Shot LearningAdversarial Robustness in Machine Learning

Cited by 1