Wei Lin

Artificial Intelligence · with Zhou · 2019–2021

A researcher in the Science corpus: 7 papers; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Lin trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Kaiming He
  6. Yann LeCun
  7. Max Welling
  8. Ilya Sutskever
  9. Jimmy Ba
  10. Alex Graves

Papers from Wei Lin's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Going deeper with convolutions
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Gradient-based learning applied to document recognition

Their papers