Zhong Ma

Computer Vision and Pattern Recognition · 2016

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 Zhong Ma trusts overall

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

  1. Volodymyr Mnih
  2. Geoffrey E. Hinton
  3. James Bergstra
  4. Min Lin
  5. Sanjeev Arora
  6. Xueyun Chen
  7. Saikat Basu
  8. Alex Krizhevsky
  9. Qiang Chen
  10. Daniel L. K. Yamins

Who trusts Zhong Ma overall

  1. Patrick Helber
  2. Benjamin Bischke

Papers from Zhong Ma's perspective

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

Their papers