Yaxuan Li

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yaxuan Li trusts overall

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

  1. Jost Tobias Springenberg
  2. Richard S. Sutton
  3. Geoffrey E. Hinton
  4. Augustus Odena
  5. Mohammad Malekzadeh
  6. Yoshua Bengio
  7. Nicholas Donald Lane
  8. Alex Krizhevsky
  9. Attila Reiss
  10. Yuqing Chen

Papers from Yaxuan Li's perspective

Ordered by how strongly the researchers Yaxuan 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers