Lei Sha

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 4 papers; trusts 85 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Sha trusts overall

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

  1. Sepp Hochreiter
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. J. Urgen Schmidhuber
  6. Alex Graves
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Jimmy Ba

Who trusts Lei Sha overall

  1. Masatoshi Tsuchiya
  2. Alexis Ross
  3. Ratish Puduppully
  4. Qingyun Wang
  5. Tianyu Liu
  6. Yichen Gong
  7. Qian Chen
  8. Mirella Lapata
  9. Ana Marasovic
  10. Li Dong

Papers from Lei Sha's perspective

Ordered by how strongly the researchers Lei Sha 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers