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Pascal Vincent

  1. Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
    2023/01/19 by Mahmoud Assran, Quentin Duval, Assran, Mahmoud +14 · 8 voices · 214 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition #Advanced Neural Network Applications
  2. Representation Learning: A Review and New Perspectives
    2012/06/24 by Yoshua Bengio, Bengio, Yoshua, Aaron Courville +3 · 273 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Face and Expression Recognition #Neural Networks and Applications
  3. A Connection Between Score Matching and Denoising Autoencoders
    2011/04/15 by Pascal Vincent · 214 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Generative Adversarial Networks and Image Synthesis #Lattice Boltzmann Simulation Studies
  4. fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
    2018/11/21 by Jure Žbontar, Florian Knöll, Zbontar, Jure +47 · 71 citations
    Medicine · #Advanced MRI Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging Techniques and Applications #Medical Physics (physics.med-ph) #Radiomics and Machine Learning in Medical Imaging #Signal Processing (eess.SP) #electronic engineering #information engineering
  5. Generalized Denoising Auto-Encoders as Generative Models
    2013/05/29 by Yoshua Bengio, Li Yao, Bengio, Yoshua +5 · 25 citations
    Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neural Networks and Applications
  6. A Variational Inequality Perspective on Generative Adversarial Networks
    2018/02/28 by Gauthier Gidel, Gidel, Gauthier, Hugo Berard +7 · 32 citations
    Computer Science · Engineering · Physics and Astronomy · #3D Shape Modeling and Analysis #FOS: Computer and information sciences #FOS: Mathematics #G.1.6 #Generative Adversarial Networks and Image Synthesis #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Optimization and Control (math.OC)
  7. Accounting for Variance in Machine Learning Benchmarks
    2021/03/01 by Xavier Bouthillier, Bouthillier, Xavier, Pierre Delaunay +31 · 2 voices · 17 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
  8. Motif: Intrinsic Motivation from Artificial Intelligence Feedback
    2023/09/29 by Martin Klissarov, Pierluca D’Oro, Klissarov, Martin +13 · 22 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  9. Adding noise to the input of a model trained with a regularized objective
    2011/04/16 by Salah Rifai, Rifai, Salah, Xavier Glorot +5 · 6 citations
    Computer Science · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks
  10. MaestroMotif: Skill Design from Artificial Intelligence Feedback
    2024/12/11 by Martin Klissarov, Mikael Henaff, Klissarov, Martin +21 · 1 voice · 9 citations
    Business, Management and Accounting · #AI and HR Technologies #cs.AI #cs.CL #cs.LG
  11. Learning to Compute Word Embeddings On the Fly
    2017/06/01 by Dzmitry Bahdanau, Tom Bosc, Bahdanau, Dzmitry +9 · 7 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  12. High Fidelity Visualization of What Your Self-Supervised Representation Knows About
    2021/12/16 by Florian Bordes, Randall Balestriero, Bordes, Florian +3 · 5 citations
    Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  13. Disentanglement of Correlated Factors via Hausdorff Factorized Support
    2022/10/13 by Karsten Roth, Roth, Karsten, Mark Ibrahim +7 · 5 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #AI in cancer detection #Digital Imaging for Blood Diseases
  14. EmoNets: Multimodal deep learning approaches for emotion recognition in\n video
    2015/03/05 by Samira Ebrahimi Kahou, Xavier Bouthillier, Kahou, Samira Ebrahimi +34 · 3 citations
    Psychology · Computer Science · #Emotion and Mood Recognition #Face recognition and analysis #Human Pose and Action Recognition
  15. Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition
    2019/02/08 by Zizhao Zhang, Adriana Romero, Zhang, Zizhao +9 · 2 citations
    Medicine · Engineering · #Medical Imaging Techniques and Applications #Advanced MRI Techniques and Applications #Advanced X-ray and CT Imaging
  16. Stochastic Hamiltonian Gradient Methods for Smooth Games
    2020/07/08 by Nicolas Loizou, Loizou, Nicolas, Hugo Berard +9 · 6 citations
    Computer Science · Mathematics · Physics and Astronomy · #Stochastic Gradient Optimization Techniques #Markov Chains and Monte Carlo Methods #Model Reduction and Neural Networks
  17. Adversarial Example Games
    2020/07/01 by Avishek Joey Bose, Bose, Avishek Joey, Gauthier Gidel +11 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications
  18. The Z-loss: a shift and scale invariant classification loss belonging to the Spherical Family
    2016/04/29 by Alexandre de Brébisson, de Brébisson, Alexandre, Pascal Vincent +1 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Topic Modeling #Domain Adaptation and Few-Shot Learning
  19. Implicit Regularization via Neural Feature Alignment
    2020/08/03 by Aristide Baratin, Thomas George, Baratin, Aristide +11 · 1 citation
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
  20. SVRG for Policy Evaluation with Fewer Gradient Evaluations
    2019/06/09 by Zilun Peng, Peng, Zilun, Touati, Ahmed +4 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Stochastic Gradient Optimization Techniques