Guest blog with Weihua, a former intern at PFN


2017-09-11 16:29:13

This is a guest post in an interview style with Weihua Hu, a former intern at Preferred Networks last year from University of Tokyo, whose research has been extended after the internship and accepted at ICML 2017.

“Learning Discrete Representations via Information Maximizing Self-Augmented Training,” Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, and Masashi Sugiyama; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1558-1567, 2017. (Link)

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FCN-Based 6D Robotic Grasping for Arbitrary Placed Objects


2017-07-25 10:01:28

Hello! My name is Hitoshi Kusano. I participated in 2016 PFN summer internship program and have been a part-time engineer at PFN ever since, while also studying machine learning at Kyoto University. At PFN, my research topic was to teach an industrial robot how to pick up an object.

Based on the result of my work at PFN, I presented a paper titled ”FCN-Based 6D Robotic Grasping for Arbitrary Placed Objects” at the Learning and Control for Autonomous Manipulation Systems: The Role of Dimensionality Reduction workshop at ICRA 2017, the world’s biggest annual conference in robotics.

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ICLR 2017: Conference Report & Coming ICML


2017-07-21 11:20:57

I am Takeru Miyato, a researcher at Preferred Networks (PFN), and I participated in  ICLR 2017 (4/24-4/26), which is the biggest conference on deep learning research.

Let me give you a brief overview of the event. ICLR has been held since 2013 and this was the fifth ICLR. The main features of ICLR are:

  • Focus on deep learning and its application. Most of the papers focus on neural networks.
  • Adaptation of open review system. Everyone can join the review process. To be precise, everyone can see the all of the reviews and rebuttals and also can comment, ask questions, and post his or her reviews as public reviews. In addition, authors can update their paper anytime from the feedback until the end of the discussion phase.

As far as I know, there is no other conference exposing the all of the reviews and rebuttals to the public, which I think is interesting / helpful to the people who write or review research papers. Also, some people analyzed the submissions and reviews, and they posted articles with interesting results. Here are some links to a pair of interesting ones:

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