Wu Lin

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Wu Lin trusts overall

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

  1. Diederik P. Kingma
  2. Radford M. Neal
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Alex Graves
  6. Ronald J. Williams
  7. Shun-ichi Amari
  8. Yann LeCun
  9. Matthew D. Zeiler
  10. John C. Duchi

Who trusts Wu Lin overall

  1. Laurence Aitchison

Papers from Wu Lin's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. GENERATIVE ADVERSARIAL NETS

Their papers