Liang-Chih Yu

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Liang-Chih Yu trusts overall

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

  1. Richard Socher
  2. Yoon Kim
  3. Tomas Mikolov
  4. Yoshua Bengio
  5. Christopher D. Manning
  6. Geoffrey E. Hinton
  7. Amy Beth Warriner
  8. Jeffrey Pennington
  9. Ilya Sutskever
  10. Alex Graves

Who trusts Liang-Chih Yu overall

  1. Lei Zhang
  2. Sven Buechel
  3. Gihyeon Choi
  4. Shuai Wang
  5. Saif M. Mohammad
  6. Gang Liu
  7. T. Kim
  8. Tom Young
  9. B. Liu
  10. Udo Hahn

Papers from Liang-Chih Yu's perspective

Ordered by how strongly the researchers Liang-Chih Yu 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  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