Haoli Guo

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haoli Guo trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Mariusz Bojarski
  4. Jimmy Ba
  5. Geoffrey E. Hinton
  6. Volodymyr Mnih
  7. Christian Szegedy
  8. David Silver
  9. X. Zhang
  10. Alex Krizhevsky

Papers from Haoli Guo's perspective

Ordered by how strongly the researchers Haoli 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Gradient-based learning applied to document recognition
  6. GENERATIVE ADVERSARIAL NETS
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Et al
  10. ImageNet: A large-scale hierarchical image database

Their papers