Hongseok Choi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hongseok Choi trusts overall

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

  1. Diederik P. Kingma
  2. Samuel R. Bowman
  3. Tomas Mikolov
  4. Adina Williams
  5. Jimmy Ba
  6. Ilya Sutskever
  7. Alexis Conneau
  8. Geoffrey E. Hinton
  9. Yoshua Bengio
  10. Sepp Hochreiter

Who trusts Hongseok Choi overall

  1. Timothy Niven
  2. Hung-Yu kao
  3. Teresa Botschen

Papers from Hongseok Choi's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  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