Mei Li

Computer Vision and Pattern Recognition · with Mao · 2016

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 Mei Li trusts overall

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

  1. Kaiming He
  2. Farid Melgani

Papers from Mei Li's perspective

Ordered by how strongly the researchers Mei Li 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. Greedy Layer-Wise Training of Deep Networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Representation Learning: A Review and New Perspectives
  7. Going deeper with convolutions
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers