Nan Li

Astronomy and Astrophysics · with Collett · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nan Li trusts overall

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

  1. Kaiming He
  2. X. Zhang
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. T. Collett
  6. Shaoqing Ren

Papers from Nan Li's perspective

Ordered by how strongly the researchers Nan Li 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. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Long Short-Term Memory
  6. Improving neural networks by preventing co-adaptation of feature detectors
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Identity Mappings in Deep Residual Networks

Their papers