Long Duong

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Long Duong trusts overall

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

  1. Ilya Sutskever
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Dzmitry Bahdanau
  5. Philipp Koehn
  6. Sepp Hochreiter
  7. Alex Graves
  8. Alex Krizhevsky
  9. Tomas Mikolov
  10. Kyunghyun Cho

Who trusts Long Duong overall

  1. Sebastian Ruder
  2. Jiang Guo
  3. Joachim Bingel
  4. Christopher Fifty
  5. Wanxiang Che
  6. Chen Chen
  7. Trevor Scott Standley
  8. Jiaqi W. Ma
  9. Ron J. Weiss
  10. Zhe Zhao

Papers from Long Duong's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers