Teh Ying Wah

Artificial Intelligence · 2010–2019

A researcher in the Science corpus: 7 papers; trusts 70 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Teh Ying Wah trusts overall

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

  1. Geoffrey E. Hinton
  2. Eamonn J. Keogh
  3. Thorsten Joachims
  4. Yoshua Bengio
  5. Yann LeCun
  6. Ruslan Salakhutdinov
  7. Alex Krizhevsky
  8. Robert P. Schumaker
  9. Ilya Sutskever
  10. Alex Graves

Who trusts Teh Ying Wah overall

  1. Aminu Da’u
  2. B. Shravan Kumar
  3. Stefan Feuerriegel
  4. Laith Mohammad Abualigah

Papers from Teh Ying Wah's perspective

Ordered by how strongly the researchers Teh Ying Wah 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers