Derek F. Wong

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 7 papers; trusts 75 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Derek F. Wong trusts overall

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

  1. Philipp Koehn
  2. Franz Joseph Och
  3. Diederik P. Kingma
  4. Jörg Tiedemann
  5. Rico Sennrich
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Jimmy Ba
  9. Kaiming He
  10. Ashish Vaswani

Who trusts Derek F. Wong overall

  1. Shuhao Gu
  2. Holger Schwenk
  3. Yang Feng
  4. Pinzhen Chen
  5. Ivana Kvapilíková
  6. Mikel Artetxe

Papers from Derek F. Wong's perspective

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

Their papers