Weiyan Shi

Artificial Intelligence · with Yu · 2018–2022

A researcher in the Science corpus: 5 papers; trusts 55 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Weiyan Shi trusts overall

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

  1. Ronald J. Williams
  2. Matthew D. Zeiler
  3. Tomas Mikolov
  4. Jason Williams
  5. Jason Aaron Edward Weston
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Sepp Hochreiter
  9. Ilya Sutskever
  10. Diederik P. Kingma

Who trusts Weiyan Shi overall

  1. Xuandong Zhao
  2. Antonio A. Ginart
  3. J'er'emy Scheurer
  4. Yann Dubois
  5. Natasha Jaques
  6. Kun Qian
  7. Lei Li
  8. Ryuichi Takanobu
  9. Zhou Yu
  10. L. V. D. van der Maaten

Papers from Weiyan Shi's perspective

Ordered by how strongly the researchers Weiyan Shi 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  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