Kee Yuan Ngiam

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Kee Yuan Ngiam trusts overall

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

  1. Julian P. T. Higgins
  2. Eric J. Topol
  3. Yoshua Bengio
  4. Edward Choi
  5. Yann LeCun
  6. Mohammad R. Arbabshirani

Who trusts Kee Yuan Ngiam overall

  1. Emilio Ferrara
  2. Zeeshan Ahmed
  3. H. Rajula
  4. Khalid Mohamed
  5. G. Verlato
  6. Jiamin Yin
  7. Saman Zeeshan

Papers from Kee Yuan Ngiam's perspective

Ordered by how strongly the researchers Kee Yuan Ngiam 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. Gradient-based learning applied to document recognition
  4. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Multitask Learning
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Understanding the difficulty of training deep feedforward neural networks

Their papers