Jingming Liu

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingming Liu trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Sepp Hochreiter
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Tomas Mikolov
  7. Dzmitry Bahdanau
  8. J. Urgen Schmidhuber
  9. Christopher D. Manning
  10. Alex Krizhevsky

Papers from Jingming Liu's perspective

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

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

Their papers