V. Poor

Electrical and Electronic Engineering · 2009–2020

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom V. Poor trusts overall

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

  1. E.J. Candes
  2. Ali Abur
  3. Hirotugu Akaike
  4. Yann LeCun
  5. Tommaso Cai
  6. S. Gürbüz
  7. Terence Tao

Who trusts V. Poor overall

  1. Ruilong Deng
  2. Lalitha Sankar
  3. Lanchao Liu
  4. Gaoxi Xiao

Papers from V. Poor's perspective

Ordered by how strongly the researchers V. Poor 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Decoding by linear programming
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers