Yu Shi

Artificial Intelligence · with Chen · 2021–2023

A researcher in the Science corpus: 4 papers; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Shi trusts overall

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

  1. Geoffrey E. Hinton
  2. Jimmy Ba
  3. Yoshua Bengio
  4. Alec Radford
  5. Diederik P. Kingma
  6. Alex Graves

Papers from Yu Shi's perspective

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

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

Their papers