Ghifary, Muhammad
- 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)
- 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
- 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)
- 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)
- 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
- 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