Sheng-yi Kong

Natural Language Processing · 2018

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Sheng-yi Kong trusts overall

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

  1. Geoffrey E. Hinton
  2. Sepp Hochreiter
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Yoon Kim
  6. Tomas Mikolov
  7. J. Urgen Schmidhuber
  8. Richard Socher
  9. Alex Graves
  10. Diederik P. Kingma

Who trusts Sheng-yi Kong overall

  1. Nils Reimers
  2. Di Jin
  3. Mikel Artetxe
  4. Matthew Henderson
  5. Kurt Shuster
  6. Yinfei Yang
  7. Zhijing Jin
  8. Stephen Roller
  9. Daniel Matthew Cer
  10. Iñigo Casanueva

Papers from Sheng-yi Kong's perspective

Ordered by how strongly the researchers Sheng-yi Kong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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