Mu Li

Artificial Intelligence · with Liu · 2013–2018

A researcher in the Science corpus: 8 papers; trusts 146 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mu Li trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Richard Socher
  5. Tomas Mikolov
  6. Philipp Koehn
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Kyunghyun Cho

Who trusts Mu Li overall

  1. Ikuya Yamada
  2. Octavian-Eugen Ganea

Papers from Mu Li's perspective

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

Their papers