Kok Siong Ang

Molecular Biology · 2020–2023

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

Subfields

Whom Kok Siong Ang trusts overall

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

  1. F. Alexander Wolf
  2. Peter J. Rousseeuw
  3. Ian T. Jolliffe
  4. Aaron T. L. Lun
  5. Laleh Haghverdi
  6. L. V. D. van der Maaten
  7. Geoffrey E. Hinton
  8. Gordon K. Smyth
  9. Leland McInnes
  10. Andrew W. Butler

Papers from Kok Siong Ang's perspective

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

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

Their papers