Kyubyong Park

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 6 papers; trusts 122 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Kyubyong Park trusts overall

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

  1. Diederik P. Kingma
  2. Jimmy Ba
  3. Geoffrey E. Hinton
  4. Sepp Hochreiter
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. J. Urgen Schmidhuber
  9. Alex Graves
  10. Kaiming He

Who trusts Kyubyong Park overall

  1. Xu Tan
  2. Hamed Hemati
  3. Tomás Nekvinda
  4. Yang Zhang
  5. Hyeong-Seok Choi
  6. Jihwan Lee
  7. Ondrej Dusek
  8. Damian Borth
  9. Tao Qin
  10. Liqun Deng

Papers from Kyubyong Park's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers