Hello! I am a master’s student in CSE at Seoul National University. I am fortunate to be a member of Vision and Learning Lab. and research under the guidance of Prof. Gunhee Kim.

I am broadly interested in the fundamentals of deep learning - neural architectures, learning algorithms, and meta learning. The vision is to advance deep learning by being inspired by human brain and cognition. I currently focus on understanding and optimizing greedy learning for neural networks.

More information can be found on my CV & Google Scholar page.

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Education

• Seoul National University, Seoul, Korea
  M.S./Ph.D. student in Computer Science and Engineering, 2019 ~ Current

• Yonsei University, Seoul, Korea
  B.S. in Computer Science, 2019

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Publications

• SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning
  Myeongjang Pyeon, Jihwan Moon, Taeyoung Hahn and Gunhee Kim
  ICLR 2021  [paper] [code] [slides]

• IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks
  Insu Jeon, Wonkwang Lee (KAIST), Myeongjang Pyeon and Gunhee Kim
  AAAI 2021  [paper]

• Self-Routing Capsule Networks
  Taeyoung Hahn, Myeongjang Pyeon and Gunhee Kim
  NeurIPS 2019  [paper] [code] [poster]

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Awards

• The 27th Samsung Humantech Paper Award (2021)

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Contact

Email: mjpyeon at vision.snu.ac.kr