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David Warde-Farley

  1. Generative Adversarial Networks
    2014/06/10 by Ian J. Goodfellow, Ian Goodfellow, Goodfellow, Ian J. +14 · 7 voices · 138 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Image Processing and 3D Reconstruction #Music and Audio Processing #cs.LG #stat.ML
  2. Generative adversarial networks
    2020/10/22 by Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza +5 · 113 citations
    Computer Science · #Computational Physics and Python Applications #Explainable Artificial Intelligence (XAI) #Generative Adversarial Networks and Image Synthesis
  3. Theano: new features and speed improvements
    2012/11/23 by Frédéric Bastien, Bastien, Frédéric, Pascal Lamblin +15 · 78 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Methods and Algorithms #Parallel Computing and Optimization Techniques #Symbolic Computation (cs.SC)
  4. Fast Task Inference with Variational Intrinsic Successor Features
    2019/06/12 by Steven Hansen, Will Dabney, Hansen, Steven +9 · 19 citations
    Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning
  5. Variational Approaches for Auto-Encoding Generative Adversarial Networks
    2017/06/15 by Mihaela Rosca, Balaji Lakshminarayanan, Rosca, Mihaela +5 · 28 citations
    Computer Science · Physics and Astronomy · #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  6. Unsupervised Control Through Non-Parametric Discriminative Rewards
    2018/11/28 by David Warde-Farley, Tom Van de Wiele, Warde-Farley, David +9 · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  7. Q-Learning in enormous action spaces via amortized approximate maximization
    2020/01/22 by Tom Van de Wiele, David Warde-Farley, Van de Wiele, Tom +5 · 1 voice · 3 citations
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #cs.AI #cs.LG #stat.ML
  8. EmoNets: Multimodal deep learning approaches for emotion recognition in\n video
    2015/03/05 by Samira Ebrahimi Kahou, Kahou, Samira Ebrahimi, Xavier Bouthillier +34 · 4 citations
    Psychology · Computer Science · #Emotion and Mood Recognition #Face recognition and analysis #Human Pose and Action Recognition
  9. Learning more skills through optimistic exploration
    2021/07/29 by DJ Strouse, Kate Baumli, Strouse, DJ +7 · 4 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  10. Relative Variational Intrinsic Control
    2020/12/14 by Kate Baumli, Baumli, Kate, David Warde-Farley +5 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  11. Neural Compression of Atmospheric States
    2024/07/16 by Piotr Mirowski, Mirowski, Piotr, David Warde-Farley +17 · 3 citations
    Computer Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics and Python Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Applications