【9月21日 更新分】機械学習に関する論文まとめ

9月21日に公開された論文


自然言語処理

Updating the silent speech challenge benchmark with deep learning
著者:Yan Ji, Licheng Liu, Hongcui Wang, Zhilei Liu, Zhibin Niu, Bruce Denby

画像解析

SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes
著者:Trung Pham, Thanh-Toan Do, Niko Sünderhauf, Ian Reid
Transfer learning from synthetic to real images using variational autoencoders for robotic applications
著者:Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow
著者:Jingchun Cheng, Yi-Hsuan Tsai, Shengjin Wang, Ming-Hsuan Yang
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images
著者:Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven McDonagh, Alice Davidson, Mary Rutherford, Jo V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz

音声解析

Deep Recurrent NMF for Speech Separation by Unfolding Iterative Thresholding
著者:Scott Wisdom, Thomas Powers, James Pitton, Les Atlas

強化学習

Feature Engineering for Predictive Modeling using Reinforcement Learning
著者:Udayan Khurana, Horst Samulowitz, Deepak Turaga
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
著者:Giorgio Stampa, Marta Arias, David Sanchez-Charles, Victor Muntes-Mulero, Albert Cabellos
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks
著者:Aditya Gudimella, Ross Story, Matineh Shaker, Ruofan Kong, Matthew Brown, Victor Shnayder, Marcos Campos
Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics
著者:Konstantinos Chatzilygeroudis, Jean-Baptiste Mouret

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