Dian Yu

Artificial Intelligence · with Xu · 2021–2023

A researcher in the Science corpus: 4 papers; trusts 120 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Dian Yu trusts overall

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

  1. Geoffrey E. Hinton
  2. Jason Aaron Edward Weston
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Emily Dinan
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Alec Radford
  9. Yann LeCun
  10. Kaiming He

Who trusts Dian Yu overall

  1. Xingyao Wang
  2. J. Chen
  3. Theodore R. Sumers
  4. Xu Huang
  5. Shibo Hao
  6. Noah Shinn
  7. Andy Zhou
  8. Andrew Zhao
  9. Zhihong Shao
  10. Shervin Minaee

Papers from Dian Yu's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. 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. 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