Weili Lin

Computer Vision and Pattern Recognition · 2005–2018

A researcher in the Science corpus: 8 papers; trusts 41 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Weili Lin trusts overall

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

  1. Yann LeCun
  2. Geoffrey E. Hinton
  3. Eric R. Ziegel
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. L. Eon Bottou
  7. Ilya Sutskever
  8. John G. Sled
  9. Dan Claudiu Ciresan
  10. Kaiming He

Who trusts Weili Lin overall

  1. Arvid Lundervold

Papers from Weili Lin's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. GENERATIVE ADVERSARIAL NETS
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers