David Neumann

Artificial Intelligence · with Anders · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David Neumann trusts overall

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

  1. Grgoire Montavon
  2. Geoffrey E. Hinton
  3. R. Fisher
  4. Ulrike von Luxburg
  5. Marco Cuturi
  6. Naomi S. Altman
  7. David R. Lide
  8. Andrew Y. Ng
  9. Yann LeCun
  10. L. V. D. van der Maaten

Papers from David Neumann's perspective

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

  1. ImageNet Large Scale Visual Recognition Challenge
  2. ImageNet classification with deep convolutional neural networks
  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. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers