Shawn Li

Artificial Intelligence · 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 Shawn Li trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio

Papers from Shawn Li's perspective

Ordered by how strongly the researchers Shawn Li 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. Rectified Linear Units Improve Restricted Boltzmann Machines
  6. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Improving neural networks by preventing co-adaptation of feature detectors
  9. Gradient-based learning applied to document recognition
  10. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

Their papers