Xingyi Song

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xingyi Song trusts overall

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

  1. Franz Joseph Och
  2. Kenneth Heafield
  3. Philipp Koehn
  4. Colin Cherry
  5. Mark Hopkins
  6. Qin Gao
  7. Lucia Specia
  8. Chris Callison-Burch
  9. Sergey Ioffe

Papers from Xingyi Song's perspective

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

  1. Bleu: a Method for Automatic Evaluation of Machine Translation
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. GloVe: Global Vectors for Word Representation
  6. Long Short-Term Memory
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. ImageNet classification with deep convolutional neural networks

Their papers