Tianze Shi

Artificial Intelligence · with Zhang · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tianze Shi trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Jacob Devlin
  5. Li Dong
  6. Ilya Sutskever
  7. Luke S. Zettlemoyer
  8. Dzmitry Bahdanau
  9. Christopher D. Manning
  10. Alex Krizhevsky

Who trusts Tianze Shi overall

  1. Jiayuan Mao
  2. Ansong Ni
  3. Xinyu Pi
  4. Zhoujun Cheng
  5. Qian Liu
  6. Haoyue Shi

Papers from Tianze Shi's perspective

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

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

Their papers