Hsin-Yuan Huang

Artificial Intelligence · with Choi · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 176 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Hsin-Yuan Huang trusts overall

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

  1. Geoffrey E. Hinton
  2. Sepp Hochreiter
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Richard Socher
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. J. Urgen Schmidhuber
  9. Jeffrey Pennington
  10. Christopher D. Manning

Who trusts Hsin-Yuan Huang overall

  1. Debajyoti Chatterjee
  2. Yicheng Wang
  3. Minghao Hu
  4. Chenguang Zhu
  5. Ahmed Elgohary
  6. Alon Talmor
  7. Xiaodong Liu
  8. Eunsol Choi
  9. Wei Wang
  10. Sewon Min

Papers from Hsin-Yuan Huang's perspective

Ordered by how strongly the researchers Hsin-Yuan Huang trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers