Linjun Shou

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 11 papers; trusts 285 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Linjun Shou trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Yann LeCun
  5. Kaiming He
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Ronald J. Williams
  9. Oriol Vinyals
  10. Alec Radford

Who trusts Linjun Shou overall

  1. Jianping Gou
  2. Daya Guo

Papers from Linjun Shou's perspective

Ordered by how strongly the researchers Linjun Shou 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers