Li Liu

Artificial Intelligence · with Wang · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Li Liu trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky

Papers from Li Liu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Rectified Linear Units Improve Restricted Boltzmann Machines
  7. Gradient-based learning applied to document recognition
  8. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Improving neural networks by preventing co-adaptation of feature detectors

Their papers