Quanbin Ma

Astronomy and Astrophysics · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Quanbin Ma trusts overall

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

  1. Kaiming He
  2. X. Zhang
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. T. Collett
  6. Shaoqing Ren
  7. David E. Rumelhart
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. L. Eon Bottou

Papers from Quanbin Ma's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Dropout: a simple way to prevent neural networks from overfitting
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers