Kaibo Liu

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kaibo Liu trusts overall

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

  1. Rico Sennrich

Papers from Kaibo Liu's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Long Short-Term Memory
  7. WaveNet: A Generative Model for Raw Audio
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation of Rare Words with Subword Units
  10. Gradient-based learning applied to document recognition

Their papers