Han Guo

Artificial Intelligence · with Bansal · 2017–2022

A researcher in the Science corpus: 5 papers; trusts 521 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Han Guo trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Alex Graves
  7. Jimmy Ba
  8. Ross B. Girshick
  9. Kaiming He
  10. Yann LeCun

Who trusts Han Guo overall

  1. Wojciech Kryscinski
  2. Hardy Hardy
  3. Bryan McCann
  4. Wang Wenbo
  5. Alexander R. Fabbri
  6. Tobias Falke
  7. Ximing Lu
  8. Aashi Jain
  9. Nitish Shirish Keskar
  10. Andreas Vlachos

Papers from Han Guo's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers