Yang Liu

Artificial Intelligence · with Feng · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Liu trusts overall

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

  1. Rico Sennrich
  2. Geoffrey E. Hinton
  3. Dzmitry Bahdanau
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Kyunghyun Cho
  8. Nitish Srivastava

Papers from Yang Liu's perspective

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

  1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers