D. Gaertner

Ecology · 2000–2010

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom D. Gaertner trusts overall

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

  1. David E. Rumelhart
  2. Geoffrey E. Hinton
  3. J. Battin
  4. Ronald J. Williams
  5. Ray Hilborn

Who trusts D. Gaertner overall

  1. S. M. McCluskey

Papers from D. Gaertner's perspective

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

  1. Learning representations by back-propagating errors
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers