Di Li

Artificial Intelligence · with Shum · 2018

A researcher in the Science corpus: 2 papers; trusts 71 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Di Li trusts overall

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

  1. Oriol Vinyals
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. Joseph Weizenbaum
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Quoc V. Le
  9. Dzmitry Bahdanau
  10. Alex Graves

Who trusts Di Li overall

  1. Stephen Roller
  2. Jianfeng Gao
  3. Endang Wahyu Pamungkas
  4. Haochen Liu
  5. Minlie Huang
  6. Ana Paula Chaves
  7. Guendalina Caldarini

Papers from Di Li's perspective

Ordered by how strongly the researchers Di 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers