Jihun Choi

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 111 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Jihun Choi trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Richard Socher
  4. Yoshua Bengio
  5. Ronald J. Williams
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Yoon Kim
  9. Christopher D. Manning
  10. Matthew D. Zeiler

Who trusts Jihun Choi overall

  1. Andrew Drozdov
  2. Nikita Nangia
  3. Jean Maillard
  4. Yixin Nie
  5. Adina Williams
  6. Samuel R. Bowman
  7. Raheel Qader
  8. Daqing Liu
  9. Stephen Clark
  10. Yicheng Wang

Papers from Jihun Choi's perspective

Ordered by how strongly the researchers Jihun Choi 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers