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Ghifary, Muhammad

  1. Domain Generalization for Object Recognition with Multi-task Autoencoders
    2015/08/31 by Ghifary, Muhammad, Kleijn, W. Bastiaan, Zhang, Mengjie +1 · 7 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
    2016/07/12 by Muhammad Ghifary, Ghifary, Muhammad, W. Bastiaan Kleijn +7 · 7 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.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 (stat.ML) #Multimodal Machine Learning Applications
  3. Domain Adaptive Neural Networks for Object Recognition
    2014/09/21 by Ghifary, Muhammad, Kleijn, W. Bastiaan, Zhang, Mengjie · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  4. Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
    2015/10/15 by Ghifary, Muhammad, Balduzzi, David, Kleijn, W. Bastiaan +1 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.2.6 #I.4 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Strongly-Typed Recurrent Neural Networks
    2016/02/06 by David Balduzzi, Muhammad Ghifary, Balduzzi, David +1 · 1 voice · 1 citation
    Computer Science · #cs.LG #cs.NE
  6. Compatible Value Gradients for Reinforcement Learning of Continuous Deep\n Policies
    2015/09/10 by David Balduzzi, Muhammad Ghifary, Balduzzi, David +1 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics