Kang Yuan

Software · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kang Yuan trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Claire Le Goues (in Software)
  3. Jimmy Ba (in Artificial Intelligence)

Papers from Kang Yuan's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. Improving neural networks by preventing co-adaptation of feature detectors
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Defects4J: a database of existing faults to enable controlled testing studies for Java programs

Their papers