Shih-Ting Lin

Artificial Intelligence · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Shih-Ting Lin trusts overall

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

  1. Jason Aaron Edward Weston
  2. Geoffrey E. Hinton
  3. Oriol Vinyals
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Richard Socher
  9. Jacob Devlin
  10. Yann LeCun

Who trusts Shih-Ting Lin overall

  1. Xuezhi Wang
  2. Jiangming Liu
  3. Weiwen Xu
  4. Matt Gardner
  5. Jason Wei

Papers from Shih-Ting Lin's perspective

Ordered by how strongly the researchers Shih-Ting Lin trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers