W. Cheung

Artificial Intelligence · with Ammanabrolu · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom W. Cheung trusts overall

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

  1. Mark O. Riedl
  2. Christopher D. Manning
  3. Kevin Clark
  4. Jacob Devlin
  5. Gabor Angeli
  6. Chris Donahue
  7. Antoine Bosselut
  8. Geoffrey E. Hinton

Who trusts W. Cheung overall

  1. Amal Alabdulkarim

Papers from W. Cheung's perspective

Ordered by how strongly the researchers W. Cheung trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers