Su Zhang

Cognitive Neuroscience · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Su Zhang trusts overall

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

  1. A. Craig
  2. Christian Szegedy
  3. Sergey Ioffe
  4. Karen Simonyan

Papers from Su Zhang's perspective

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

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

Their papers