Tao Li

Artificial Intelligence · with Xue · 2018

A researcher in the Science corpus: 1 paper; trusts 93 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Li trusts overall

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

  1. Yoshua Bengio
  2. Richard Socher
  3. Duyu Tang
  4. Geoffrey E. Hinton
  5. Sepp Hochreiter
  6. Yoon Kim
  7. Alex Graves
  8. Dzmitry Bahdanau
  9. Diederik P. Kingma
  10. Ilya Sutskever

Who trusts Tao Li overall

  1. Zixuan Ke
  2. Bing Liu
  3. Hu Xu
  4. Chen Zhang
  5. Kai Wang
  6. Bin Liang
  7. Kai Sun
  8. Hang Yan
  9. Qingshan Jiang
  10. Yan Wang

Papers from Tao Li's perspective

Ordered by how strongly the researchers Tao Li 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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