Won Ik Cho

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Won Ik Cho trusts overall

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

  1. Reuben Binns
  2. Marcelo O. R. Prates
  3. Steven Bird
  4. Jacob Devlin
  5. Andrea Esuli
  6. Batya Friedman
  7. Boxing Chen
  8. Geoffrey E. Hinton
  9. Svetlana Kiritchenko
  10. Ilya Sutskever

Who trusts Won Ik Cho overall

  1. Karolina Stańczak
  2. Hila Gonen
  3. Gauri Gupta
  4. Kellie Webster
  5. Isabelle Augenstein
  6. A. Farkas
  7. Emily Sheng
  8. Krithika Ramesh
  9. Jiwon Kim

Papers from Won Ik Cho's perspective

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

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

Their papers