Peter M. Williams

1995

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Peter M. Williams trusts overall

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

  1. David John Cameron MacKay
  2. Charles M. Bishop
  3. Barak A. Pearlmutter
  4. Wray L. Buntine
  5. John S. Denker
  6. Babak Hassibi
  7. Yann LeCun
  8. Andreas S. Weigend
  9. David G. Stork
  10. Sara A. Solla

Who trusts Peter M. Williams overall

  1. Michael E. Tipping
  2. Charles M. Bishop
  3. Steven J. Phillips
  4. James T. Kwok
  5. Gavin C. Cawley
  6. Takafumi Kanamori
  7. Masashi Sugiyama
  8. Yi Sun
  9. Pasi Jylänki
  10. Shipeng Yu

Papers from Peter M. Williams's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Histograms of oriented gradients for human detection
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers