Steve R. Waterhouse

1995

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Steve R. Waterhouse trusts overall

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

  1. David John Cameron MacKay
  2. Michael I. Jordan
  3. Robert A. Jacobs
  4. Geoffrey E. Hinton

Who trusts Steve R. Waterhouse overall

  1. Charles M. Bishop
  2. Zoubin Ghahramani
  3. Tom Minka
  4. Robert A. Jacobs
  5. Matthew J. Beal
  6. Li Fei-Fei
  7. Naonori Ueda
  8. Isobel Claire Gormley
  9. Clare A. McGrory
  10. David M. Blei

Papers from Steve R. Waterhouse's perspective

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

  1. Hierarchical Mixtures of Experts and the EM Algorithm
  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. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers