Yue Guo

Artificial Intelligence · with Barnes · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yue Guo trusts overall

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

  1. Eric R. Ziegel
  2. Thomas Hofmann
  3. T. Griffiths
  4. Arthur U. Asuncion
  5. David M. Blei
  6. Mark Steyvers
  7. S. A. A. Khattab
  8. Yong Liu
  9. Peter O'Connor
  10. Sangwon Park

Who trusts Yue Guo overall

  1. Roman Egger

Papers from Yue Guo's perspective

Ordered by how strongly the researchers Yue 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers