Alexander Y. Sun

Computer Vision and Pattern Recognition · 2006–2019

A researcher in the Science corpus: 6 papers; trusts 101 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Y. Sun trusts overall

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

  1. Anna M. Michalak
  2. J. Atmadja
  3. Stephen P. Boyd
  4. Sergey Ioffe
  5. Peter J. Diggle
  6. Yoshua Bengio
  7. Geoffrey E. Hinton
  8. Christian Szegedy
  9. Pascal Vincent
  10. Peter K. Kitanidis

Papers from Alexander Y. Sun's perspective

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

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

Their papers