Michael Zhai

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Zhai trusts overall

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

  1. Wen-tau Yih
  2. Ming Tan
  3. Yoshua Bengio
  4. Nal Kalchbrenner
  5. Geoffrey E. Hinton
  6. Kyunghyun Cho
  7. Bing Xiang
  8. Noah A. Smith
  9. Michael Heilman
  10. Ilya Sutskever

Who trusts Michael Zhai overall

  1. Dinghan Shen
  2. Shervin Minaee
  3. Martin Renqiang Min
  4. Eunsol Choi

Papers from Michael Zhai's perspective

Ordered by how strongly the researchers Michael Zhai 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. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers