William Huang

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 106 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom William Huang trusts overall

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

  1. Samuel R. Bowman
  2. Adina Williams
  3. Geoffrey E. Hinton
  4. Masatoshi Tsuchiya
  5. Jan Gorodkin
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Yinhan Liu
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts William Huang overall

  1. Tongshuang Sherry Wu
  2. Max Bartolo

Papers from William Huang's perspective

Ordered by how strongly the researchers William Huang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  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