David A. Meyer

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David A. Meyer trusts overall

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

  1. Weihao Kong
  2. Alex Krizhevsky
  3. Wei David Liu
  4. Timo Ahonen
  5. Geoffrey E. Hinton
  6. Yunchao Gong
  7. Brian Kulis
  8. Ilya Sutskever
  9. Mohammad Norouzi
  10. Debayan Gupta

Papers from David A. Meyer's perspective

Ordered by how strongly the researchers David A. Meyer 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. ImageNet Large Scale Visual Recognition Challenge
  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. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers