Dawei Yin

Artificial Intelligence · 2009–2024

A researcher in the Science corpus: 20 papers; trusts 368 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Dawei Yin trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Alex Graves
  7. Yann LeCun
  8. Ruslan Salakhutdinov
  9. Nitin Jindal
  10. Oriol Vinyals

Who trusts Dawei Yin overall

  1. Pushkar Mishra
  2. John Pavlopoulos
  3. Elizabeth Whittaker
  4. Helen Yannakoudakis
  5. Prodromos Malakasiotis
  6. Ying Chen
  7. Niloofar Safi Samghabadi
  8. Cynthia Van Hee
  9. Ekaterina Shutova
  10. Ion Androutsopoulos

Papers from Dawei Yin's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers