Xiang Yu

Natural Language Processing · with Kuhn · 2020

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

Subfields

Whom Xiang Yu trusts overall

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

  1. David Yarowsky
  2. Anton Ragni
  3. Miikka Silfverberg
  4. Ashish Vaswani
  5. Kyle Gorman
  6. K. Knill
  7. Adam Wiemerslage
  8. Noam Shazeer
  9. Lucas F. E. Ashby

Who trusts Xiang Yu overall

  1. Kyle Gorman
  2. Lucas F. E. Ashby

Papers from Xiang Yu's perspective

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

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

Their papers