Tian Shi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tian Shi trusts overall

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

  1. Alexander M. Rush
  2. Mahak Gambhir
  3. Sebastian Gehrmann
  4. Max Grusky
  5. Ramesh Nallapati
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Geoffrey E. Hinton
  9. Karl Moritz Hermann
  10. Guillaume Klein

Who trusts Tian Shi overall

  1. Yue Dong
  2. Kelvin Luu
  3. Daniel Khashabi
  4. Shuohang Wang

Papers from Tian Shi's perspective

Ordered by how strongly the researchers Tian Shi 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  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