Yao Liu

Computer Vision and Pattern Recognition · with Deng · 2017

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yao Liu trusts overall

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

  1. Geoffrey E. Hinton
  2. Andrew L. Maas
  3. Sergey Ioffe

Papers from Yao Liu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Rectified Linear Units Improve Restricted Boltzmann Machines
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Fully convolutional networks for semantic segmentation
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers