Phillip Boyle

Probabilistic & Bayesian Methods · 2004–2007

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Phillip Boyle trusts overall

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

  1. David John Cameron MacKay
  2. Carl E. Rasmussen
  3. Christopher K. I. Williams
  4. Radford M. Neal
  5. Kenneth O. Stanley
  6. Joaquin Quiñonero Candela
  7. Volker Tresp
  8. Christopher J. Paciorek
  9. Charles M. Bishop
  10. Iain Murray

Who trusts Phillip Boyle overall

  1. Mauricio A Álvarez
  2. Neil D. Lawrence
  3. Lorenzo Rosasco
  4. Michalis K. Titsias
  5. Eric Brochu
  6. Edward Meeds
  7. Flávio B. Gonçalves
  8. Bo Wang
  9. Luca Baldassarre
  10. Haitao Liu

Papers from Phillip Boyle's perspective

Ordered by how strongly the researchers Phillip Boyle 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers