Tong Yu

Artificial Intelligence · 3 papers · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tong Yu trusts overall

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

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

Papers from Tong Yu's perspective

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

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

Their papers