vix.ing · top · new · best · stats · spec

Karol Kurach

  1. Towards Accurate Generative Models of Video: A New Metric & Challenges
    2018/12/03 by Thomas Unterthiner, Sjoerd van Steenkiste, Unterthiner, Thomas +9 · 169 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Video Analysis and Summarization #Human Pose and Action Recognition
  2. Are GANs Created Equal? A Large-Scale Study
    2017/11/28 by Mario Lucic, Mario Lučić, Karol Kurach +8 · 2 voices · 15 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
  3. 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
  4. Adding Gradient Noise Improves Learning for Very Deep Networks
    2015/11/21 by Arvind Neelakantan, Neelakantan, Arvind, Luke Vilnis +11 · 29 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Topic Modeling
  5. Smart Reply: Automated Response Suggestion for Email
    2016/06/15 by Anjuli Kannan, Karol Kurach, Kannan, Anjuli +19 · 1 voice · 3 citations
    #cs.CL
  6. Learning to Discover Efficient Mathematical Identities
    2014/06/06 by Wojciech Zaremba, Zaremba, Wojciech, Karol Kurach +3 · 7 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Neural Networks and Applications
  7. 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