Yu-Lun Hsieh

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu-Lun Hsieh trusts overall

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

  1. Ilya Sutskever
  2. Sepp Hochreiter
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Dzmitry Bahdanau
  7. J. Urgen Schmidhuber
  8. Alex Krizhevsky
  9. Oriol Vinyals
  10. Diederik P. Kingma

Who trusts Yu-Lun Hsieh overall

  1. Michael Hahn

Papers from Yu-Lun Hsieh's perspective

Ordered by how strongly the researchers Yu-Lun Hsieh 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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