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Gelly, Sylvain

  1. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
    2020/10/22 by Alexey Dosovitskiy, Dosovitskiy, Alexey, Lucas Beyer +21 · 6 voices · 4237 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning
  2. Parameter-Efficient Transfer Learning for NLP
    2019/02/02 by Neil Houlsby, Houlsby, Neil, Andrei Giurgiu +13 · 469 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  3. Towards Accurate Generative Models of Video: A New Metric & Challenges
    2018/12/03 by Thomas Unterthiner, Sjoerd van Steenkiste, Unterthiner, Thomas +9 · 196 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Video Analysis and Summarization #Human Pose and Action Recognition
  4. Are GANs Created Equal? A Large-Scale Study
    2017/11/28 by Mario Lucic, Mario Lučić, Lucic, Mario +8 · 2 voices · 20 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Video Analysis and Summarization #cs.LG #stat.ML
  5. Big Transfer (BiT): General Visual Representation Learning
    2019/12/24 by Alexander Kolesnikov, Lucas Beyer, Kolesnikov, Alexander +11 · 1 voice · 30 citations
    #cs.CV #cs.LG
  6. Wasserstein Auto-Encoders
    2017/11/05 by Ilya Tolstikhin, Tolstikhin, Ilya, Olivier Bousquet +5 · 61 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Anomaly Detection Techniques and Applications #Human Pose and Action Recognition
  7. Assessing Generative Models via Precision and Recall
    2018/05/31 by Mehdi S. M. Sajjadi, Olivier Bachem, Sajjadi, Mehdi S. M. +7 · 53 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Data Visualization and Analytics #Anomaly Detection Techniques and Applications
  8. MemGEN: Memory is All You Need
    2018/03/29 by Sylvain Gelly, Karol Kurach, Gelly, Sylvain +5 · 3 voices · 1 citation
    Computer Science · #Algorithms and Data Compression #Music and Audio Processing #Video Analysis and Summarization #cs.LG
  9. A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
    2019/10/01 by Xiaohua Zhai, Zhai, Xiaohua, Joan Puigcerver +31 · 36 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
  10. Google Research Football: A Novel Reinforcement Learning Environment
    2019/07/25 by Kurach, Karol, Raichuk, Anton, Stańczyk, Piotr +8 · 30 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  11. On Mutual Information Maximization for Representation Learning
    2019/07/31 by Michael Tschannen, Tschannen, Michael, Josip Djolonga +7 · 43 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
  12. What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
    2020/06/10 by Marcin Andrychowicz, Anton Raichuk, Andrychowicz, Marcin +21 · 12 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Reinforcement Learning in Robotics #Software Engineering Research
  13. Predicting Neural Network Accuracy from Weights
    2020/02/26 by Thomas Unterthiner, Unterthiner, Thomas, Daniel Keysers +7 · 12 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  14. Episodic Curiosity through Reachability
    2018/10/04 by Nikolay Savinov, Savinov, Nikolay, Anton Raichuk +11 · 18 citations
    Computer Science · #Reinforcement Learning in Robotics #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning
  15. Gradient Descent Quantizes ReLU Network Features
    2018/03/22 by Hartmut Maennel, Maennel, Hartmut, Olivier Bousquet +3 · 11 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications
  16. From optimal transport to generative modeling: the VEGAN cookbook
    2017/05/22 by Olivier Bousquet, Bousquet, Olivier, Sylvain Gelly +7 · 9 citations
    Engineering · #Advanced Numerical Methods in Computational Mathematics #FOS: Computer and information sciences #Machine Learning (stat.ML)
  17. High-Fidelity Image Generation With Fewer Labels
    2019/03/06 by Mario Lučić, Michael Tschannen, Lucic, Mario +9 · 9 citations
    Engineering · Computer Science · #Image Processing Techniques and Applications #Medical Image Segmentation Techniques #Advanced Image Processing Techniques
  18. AdaGAN: Boosting Generative Models
    2017/01/09 by Ilya Tolstikhin, Tolstikhin, Ilya, Sylvain Gelly +7 · 1 voice · 2 citations
    Computer Science · Mathematics · #AI in cancer detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #cs.LG #stat.ML
  19. On Accurate Evaluation of GANs for Language Generation
    2018/06/13 by Stanislau Semeniuta, Aliaksei Severyn, Semeniuta, Stanislau +3 · 5 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  20. Scalable Transfer Learning with Expert Models
    2020/09/28 by Joan Puigcerver, Carlos Riquelme, Puigcerver, Joan +13 · 4 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Advanced Neural Network Applications
  21. On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation
    2020/01/22 by Nicolas Brosse, Carlos Riquelme, Brosse, Nicolas +7 · 2 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  22. On Robustness and Transferability of Convolutional Neural Networks
    2020/07/16 by Djolonga, Josip, Yung, Jessica, Tschannen, Michael +11 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark
    2021/04/06 by Vincent Dumoulin, Neil Houlsby, Dumoulin, Vincent +11 · 2 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
  24. Self-Supervised Learning of Video-Induced Visual Invariances
    2019/12/05 by Tschannen, Michael, Djolonga, Josip, Ritter, Marvin +5 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  25. Competitive Training of Mixtures of Independent Deep Generative Models
    2018/04/30 by Francesco Locatello, Damien Vincent, Locatello, Francesco +9 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  26. A Large-Scale Study on Regularization and Normalization in GANs
    2018/07/12 by Karol Kurach, Mario Lučić, Kurach, Karol +7 · 1 citation
    Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Adversarial Robustness in Machine Learning