Yao Chong Lim

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 174 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Yao Chong Lim trusts overall

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

  1. Tadas Baltrusaitis
  2. Geoffrey E. Hinton
  3. Tomas Mikolov
  4. Narissra Maria Punyanunt-Carter
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Kaiming He
  8. Diederik P. Kingma
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts Yao Chong Lim overall

  1. Percy Liang
  2. Nicholas Meade
  3. Anne Lauscher
  4. Sunipa Dev
  5. Debora Nozza
  6. Deven Santosh Shah
  7. Andrew Silva
  8. Radovan Popović
  9. Malvina Nissim
  10. Kawin Ethayarajh

Papers from Yao Chong Lim's perspective

Ordered by how strongly the researchers Yao Chong Lim 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers