David B. Grimes

Representation & Self-Supervised Learning · 2005

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom David B. Grimes trusts overall

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

  1. Rajesh P. N. Rao
  2. Peter Földiák
  3. Julian Besag
  4. Geoffrey E. Hinton
  5. Barbara Olshausen
  6. Terrence J. Sejnowski
  7. Sam T. Roweis
  8. Anthony J. Bell
  9. Josh Tenenbaum
  10. Daniel D. Lee

Who trusts David B. Grimes overall

  1. Roland Memisevic
  2. Guillaume Desjardins
  3. Pietro Berkes
  4. Geoffrey E. Hinton
  5. Brian Cheung
  6. Yoshua Bengio
  7. Aaron C. Courville
  8. Will Y. Zou
  9. Karl Ridgeway
  10. Richard E. Turner

Papers from David B. Grimes's perspective

Ordered by how strongly the researchers David B. Grimes 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Backpropagation Applied to Handwritten Zip Code Recognition
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers