Yu Bowen

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 7 papers; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Bowen trusts overall

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

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

Who trusts Yu Bowen overall

  1. Yu Meng
  2. Jiwoo Hong

Papers from Yu Bowen's perspective

Ordered by how strongly the researchers Yu Bowen 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. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers