Jin L.C. Guo

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jin L.C. Guo trusts overall

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

  1. Yoshua Bengio
  2. Tomas Mikolov
  3. Richard Socher
  4. Kyunghyun Cho
  5. Dzmitry Bahdanau
  6. Geoffrey E. Hinton
  7. Ilya Sutskever
  8. J. Urgen Schmidhuber
  9. Yann LeCun
  10. Christopher D. Manning

Who trusts Jin L.C. Guo overall

  1. Lutz Büch
  2. Patrick Fernandes
  3. Michele Tufano
  4. Z. Li
  5. Miltiadis Allamanis
  6. Artur Andrzejak
  7. Jevgenija Pantiuchina

Papers from Jin L.C. Guo's perspective

Ordered by how strongly the researchers Jin L.C. Guo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers