Dianqi Li

Artificial Intelligence · with Sun · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dianqi Li trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Kaiming He
  8. Alex Graves
  9. Richard Socher
  10. Sepp Hochreiter

Who trusts Dianqi Li overall

  1. Yongjun Hong
  2. Prasanna Parthasarathi
  3. Chuan Guo
  4. Qingyang Wu
  5. Abdul Jabbar
  6. Rui Wang
  7. Jiaxian Guo
  8. Tianxing He
  9. Cyprien de Masson d'Autume
  10. Kevin J Liang

Papers from Dianqi Li's perspective

Ordered by how strongly the researchers Dianqi 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. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers