Yichi Zhang

Computer Vision and Pattern Recognition · with Apley · 2018

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 Yichi Zhang trusts overall

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

  1. Ilya M. Sobol
  2. Jeremy S. De Bonet
  3. B. Thompson
  4. Salvatore Torquato
  5. David T. Fullwood
  6. Javier Portilla
  7. Li-Yi Wei
  8. Marc C. Kennedy
  9. Noel Cressie
  10. C. Krill

Papers from Yichi Zhang's perspective

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

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

Their papers