L. Mao

Artificial Intelligence · with Liu · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom L. Mao trusts overall

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

  1. Yann LeCun
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Dzmitry Bahdanau
  5. Kyunghyun Cho
  6. Yoshua Bengio
  7. Ilya Sutskever

Who trusts L. Mao overall

  1. Jason Wei
  2. Kai Zou

Papers from L. Mao's perspective

Ordered by how strongly the researchers L. Mao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers