Martin Jinye Zhang

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Jinye Zhang trusts overall

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

  1. Andrew Y. Ng
  2. Geoffrey E. Hinton
  3. L. V. D. van der Maaten
  4. Yann LeCun
  5. Rong Ge
  6. Michael I. Jordan
  7. Yoshua Bengio
  8. Martin A. Dufwenberg
  9. Alex Krizhevsky

Papers from Martin Jinye Zhang's perspective

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

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

Their papers