Tuan-Anh Hoang

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tuan-Anh Hoang trusts overall

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

  1. Diederik P. Kingma
  2. David M. Blei
  3. Tomas Mikolov
  4. Geoffrey E. Hinton
  5. Zeerak Talat
  6. Yoshua Bengio
  7. Jimmy Ba
  8. Jeffrey Pennington
  9. Yashar Mehdad
  10. Richard Socher

Papers from Tuan-Anh Hoang's perspective

Ordered by how strongly the researchers Tuan-Anh Hoang 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. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  7. GloVe: Global Vectors for Word Representation
  8. Gradient-based learning applied to document recognition
  9. Efficient Estimation of Word Representations in Vector Space
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers