Phillip Keung

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Phillip Keung trusts overall

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

  1. Rico Sennrich
  2. Kyunghyun Cho
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Dzmitry Bahdanau
  6. Ilya Sutskever
  7. Geoffrey E. Hinton
  8. Ashish Vaswani
  9. Barry Haddow
  10. Jimmy Ba

Who trusts Phillip Keung overall

  1. Jungo Kasai
  2. Carlos Escolano
  3. Maruan Al-Shedivat
  4. Anna Currey
  5. Marta Ruiz Costa-jussà

Papers from Phillip Keung's perspective

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

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

Their papers