David Meyer

Artificial Intelligence · with Hornik · 2003–2015

A researcher in the Science corpus: 6 papers; trusts 19 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom David Meyer trusts overall

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

  1. Eric R. Ziegel
  2. Yann LeCun
  3. William N. Venables
  4. Yoshua Bengio
  5. J. Platt
  6. Kurt Hornik
  7. Robert Gentleman
  8. Jerome H. Friedman
  9. Leo Breiman
  10. Trevor J. Hastie

Who trusts David Meyer overall

  1. Thomas W. Yee
  2. Kellie J. Archer
  3. Torsten Hothorn
  4. Antanas Verikas
  5. Gregory Beylkin
  6. Kurt Hornik
  7. Siddhartha Bhattacharyya
  8. João Maroco
  9. Chakkrit Kla Tantithamthavorn
  10. Verónica Pérez-Rosas

Papers from David Meyer's perspective

Ordered by how strongly the researchers David 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers