Mao Nguyen

Artificial Intelligence · 2017

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

Subfields

Whom Mao Nguyen trusts overall

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

  1. Yoon Kim
  2. Geoffrey E. Hinton
  3. Christopher D. Manning

Papers from Mao Nguyen's perspective

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

  1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  2. Dropout: a simple way to prevent neural networks from overfitting
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

Their papers