Center for Advanced Intelligence Project

4 papers were accepted at ICLR 2020, a major conference on machine learning. For more details, please refer to the link below.

[Accepted Papers] https://openreview.net/group?id=ICLR.cc/2020/Conference

Spotlight Presentations

• Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint
  Jimmy Ba(University of Toronto/ Vector Institute)
  Murat A. Erdogdu(University of Toronto/ Vector Institute)
  Taiji Suzuki(University of Tokyo/ RIKEN AIP)
  Denny Wu(University of Toronto/ Vector Institute/ RIKEN AIP)
  Tianzong Zhang(Vector Institute/ Tsinghua University)
• Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
  Kenta Oono(The University of Tokyo/ Preferred Networks, Inc.)
  Taiji Suzuk(The University of Tokyo/ RIKEN Center for Advanced Intelligence Project (AIP))
• Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network
  Taiji Suzuki (Graduate School of Information Science and Technology, The University of Tokyo/ Center for Advanced Intelligence Project, RIKEN/ Japan Digital Design)
  Hiroshi Abe (iPride Co., Ltd.)
  Tomoaki Nishimura (NTT Data Corporation)

Poster Presentation

• RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis
  Atsuhiro Noguchi (The University of Tokyo)
  Tatsuya Harada (The University of Tokyo, RIKEN)

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