Meijing Li

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Meijing Li trusts overall

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

  1. N. Grigorieff
  2. Geoffrey E. Hinton
  3. L. Eon Bottou
  4. Alex Krizhevsky

Papers from Meijing Li's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Rectified Linear Units Improve Restricted Boltzmann Machines
  6. Human-level control through deep reinforcement learning
  7. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  8. Visualizing and Understanding Convolutional Networks
  9. Deep Learning
  10. What is the best multi-stage architecture for object recognition?

Their papers