David Horn

Artificial Intelligence · 1988–2009

A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom David Horn trusts overall

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

  1. Nicolas J.-B. Brunel
  2. John J. Hopfield
  3. T. Mayhew
  4. Yann LeCun
  5. Misha Tsodyks
  6. Bernhard Schölkopf
  7. Anil K. Jain
  8. Yoshua Bengio
  9. David Martinus Johannes Tax
  10. Roded Sharan

Who trusts David Horn overall

  1. Dmitry Krotov
  2. Y. Seginer
  3. Shimon Edelman
  4. John J. Hopfield
  5. Francesco Camastra
  6. Rui Xu
  7. Dongkuan Xu
  8. Michael N. Jones
  9. Chaochao Lu
  10. Nahla H. Barakat

Papers from David Horn's perspective

Ordered by how strongly the researchers David Horn 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. 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. 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