Daniel Prelinger

1993

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Daniel Prelinger trusts overall

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

  1. J. Urgen Schmidhuber
  2. Ralph Linsker
  3. John Scott Bridle
  4. H. Barlow
  5. Paul J. Werbos
  6. Ronald J. Williams
  7. David E. Rumelhart
  8. Geoffrey E. Hinton
  9. David John Cameron MacKay

Who trusts Daniel Prelinger overall

  1. J. Urgen Schmidhuber

Papers from Daniel Prelinger's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Learning internal representations by error propagation
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers