Peter Qi Li

Signal Processing · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Qi Li trusts overall

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

  1. Diederik P. Kingma
  2. Sergey Ioffe
  3. Justin Salamon
  4. François Chollet
  5. David Talkin
  6. Geoffrey E. Hinton
  7. Matthias Mauch
  8. Christian Szegedy
  9. Jimmy Ba
  10. Arturo Camacho

Who trusts Peter Qi Li overall

  1. Max Morrison
  2. Jesse Engel
  3. Lamtharn Hantrakul
  4. Adam Polyak

Papers from Peter Qi Li's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers