Francis Eng Hock Tay

Artificial Intelligence · 2001–2016

A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 71 researchers here, as inferred from the citation graph.

Subfields

Whom Francis Eng Hock Tay trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Alex Smola
  3. Bernhard Schölkopf
  4. Thorsten Joachims
  5. Vladimir Naumovich Vapnik
  6. John E. Moody
  7. Lijuan Cao
  8. Geoffrey E. Hinton
  9. Tingshu Hu
  10. Elmer G. Gilbert

Who trusts Francis Eng Hock Tay overall

  1. Wei He
  2. Xiaodong Li
  3. Hyeran Byun
  4. Xu Jin
  5. Chi-Jie Lu
  6. Stephan K. Chalup
  7. Thorsten Wuest
  8. Lijuan Cao
  9. Zan Huang
  10. Shuzhi Sam Ge

Papers from Francis Eng Hock Tay's perspective

Ordered by how strongly the researchers Francis Eng Hock Tay trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers