Min Xie

Artificial Intelligence · with Lian · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Min Xie trusts overall

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

  1. Oriol Vinyals
  2. J. Fleiss
  3. Kyunghyun Cho
  4. Yoshua Bengio
  5. Jeffrey Pennington
  6. Geoffrey E. Hinton
  7. Dzmitry Bahdanau
  8. Quoc V. Le
  9. Richard Socher
  10. Sepp Hochreiter

Who trusts Min Xie overall

  1. Wen Zheng
  2. Natasa Milic-Frayling
  3. Haolan Zhan
  4. Yufan Zhao
  5. Byeongchang Kim
  6. Wei Wu

Papers from Min Xie's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  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. ImageNet: A large-scale hierarchical image database
  9. Et al
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers