Wansu Lim

Computer Networks and Communications · 2019

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wansu Lim trusts overall

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

  1. Alex Krizhevsky
  2. Karen Simonyan
  3. Julie A. Adams
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Christian Szegedy
  8. Jia Deng
  9. Andrew Zisserman
  10. Hervé Bourlard

Papers from Wansu Lim's perspective

Ordered by how strongly the researchers Wansu 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. ImageNet: A large-scale hierarchical image database
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Going deeper with convolutions
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers