Yalou Huang

Artificial Intelligence · with Wu · 2007–2016

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yalou Huang trusts overall

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

  1. Minqing Hu
  2. Vladimir Naumovich Vapni
  3. Oriol Vinyals
  4. Matthew D. Zeiler
  5. Tomas Mikolov
  6. Yoshua Bengio
  7. Kyunghyun Cho
  8. Geoffrey E. Hinton

Papers from Yalou Huang's perspective

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

  1. Long Short-Term Memory
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Recurrent neural network based language model
  10. Bleu: a Method for Automatic Evaluation of Machine Translation

Their papers