Yuan Ling

Artificial Intelligence · with Aguilar · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuan Ling trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Jacob Devlin
  5. Matthieu Courbariaux
  6. Oriol Vinyals
  7. Diederik P. Kingma
  8. Itay Hubara
  9. Xiaodong Liu
  10. Yann LeCun

Who trusts Yuan Ling overall

  1. Wenhui Wang
  2. Lin Wang

Papers from Yuan Ling's perspective

Ordered by how strongly the researchers Yuan Ling 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. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Distilling the Knowledge in a Neural Network (arXiv.org)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers