Hung-Yu kao

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 5 papers; trusts 65 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Hung-Yu kao trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Sepp Hochreiter
  4. Ivan Habernal
  5. Yoshua Bengio
  6. Jimmy Ba
  7. Alex Krizhevsky
  8. J. Urgen Schmidhuber
  9. Samuel R. Bowman
  10. Nitish Srivastava

Who trusts Hung-Yu kao overall

  1. Robert Leaman
  2. Samuel R. Bowman
  3. Chih-Hsuan Wei
  4. Rezarta Islamaj Dogan
  5. Timothy Niven
  6. Zhiyong Lu
  7. Chadi Helwe
  8. Nicholas Lourie
  9. Pengcheng He
  10. Alexandre Tamborrino

Papers from Hung-Yu kao's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers