Yong-Siang Shih

Artificial Intelligence · 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 Yong-Siang Shih trusts overall

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

  1. Ashish Vaswani
  2. Ilya Sutskever
  3. Alex Graves
  4. Geoffrey E. Hinton
  5. Zhilin Yang
  6. Yoshua Bengio
  7. Oriol Vinyals
  8. Diederik P. Kingma
  9. Ruslan Salakhutdinov
  10. Alex Krizhevsky

Papers from Yong-Siang Shih's perspective

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

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

Their papers