Kangwei Ling

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kangwei Ling trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Tomas Mikolov
  6. Alex Krizhevsky
  7. J. Urgen Schmidhuber
  8. Yann LeCun
  9. Ruslan Salakhutdinov
  10. Alex Graves

Papers from Kangwei Ling's perspective

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

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

Their papers