Demi Guo

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 7 papers; trusts 589 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Demi Guo trusts overall

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

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

Who trusts Demi Guo overall

  1. Yi-Lin Sung
  2. Mohit Bansal
  3. Jaemin Cho
  4. Freda Shi
  5. Yonatan Belinkov
  6. Olga Kovaleva
  7. François Lagunas
  8. Sufeng Duan
  9. Ellie Pavlick
  10. Mostafa Dehghani

Papers from Demi Guo's perspective

Ordered by how strongly the researchers Demi 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers