Wei Chong Ng

Information Systems · 2022

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

Subfields

Whom Wei Chong Ng trusts overall

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

  1. Jakub Konecný
  2. Miguel Oom Temudo de Castro
  3. Michael Dowling
  4. Geoffrey E. Hinton
  5. Joseph Redmon
  6. Alex Krizhevsky
  7. Victor Costan
  8. Luigi Grippo
  9. Lin Wang
  10. H. Brendan McMahan

Papers from Wei Chong Ng's perspective

Ordered by how strongly the researchers Wei Chong Ng 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. Long Short-Term Memory
  5. Distilling the Knowledge in a Neural Network (arXiv.org)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers