Yi-Shin Chen

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yi-Shin Chen trusts

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

  1. Yoon Kim (in Artificial Intelligence)
  2. Jonathon Read (in Artificial Intelligence)
  3. Alec Go (in Natural Language Processing)
  4. Diederik P. Kingma (in Artificial Intelligence)
  5. Jimmy Ba (in Artificial Intelligence)
  6. Geoffrey E. Hinton (in Model Architectures)
  7. Yann LeCun (in Artificial Intelligence)
  8. Svetlana Kiritchenko (in Artificial Intelligence)
  9. Saif M. Mohammad (in Artificial Intelligence)

Papers from Yi-Shin Chen's perspective

Ordered by how strongly the researchers Yi-Shin Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Rectified Linear Units Improve Restricted Boltzmann Machines
  3. Efficient Estimation of Word Representations in Vector Space
  4. Improving neural networks by preventing co-adaptation of feature detectors
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Long Short-Term Memory
  10. Convolutional Neural Networks for Sentence Classification

Their papers