Kyungguen Byun

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Kyungguen Byun trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Hideki Kawahara
  4. Ronald J. Williams
  5. Keiichi Tokuda
  6. Geoffrey E. Hinton
  7. Xavier Glorot
  8. Ilya Sutskever
  9. Heiga Zen
  10. Aäron van den Oord

Who trusts Kyungguen Byun overall

  1. Ryuichi Yamamoto
  2. Eunwoo Song
  3. Min-Jae Hwang
  4. Hiroki Kanagawa
  5. Jae-Min Kim
  6. Qiao Tian
  7. Nanxin Chen

Papers from Kyungguen Byun's perspective

Ordered by how strongly the researchers Kyungguen Byun trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers