Wei Wei

Artificial Intelligence · with Li · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 94 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Wei Wei trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Sepp Hochreiter
  4. Yoshua Bengio
  5. Oriol Vinyals
  6. Kaiming He
  7. Alex Krizhevsky
  8. J. Urgen Schmidhuber
  9. Richard Socher
  10. Ilya Sutskever

Who trusts Wei Wei overall

  1. Debajyoti Chatterjee
  2. Stephen Roller
  3. Wei Wang
  4. Martin Raison
  5. Emily Dinan
  6. Xiaodong Liu

Papers from Wei Wei's perspective

Ordered by how strongly the researchers Wei Wei 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers