Ian R. Porteous

Information Systems · 2008–2010

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Ian R. Porteous trusts overall

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

  1. Ruslan Salakhutdinov
  2. Daniel D. Lee
  3. David H. Stern
  4. Gábor Takács
  5. David M. Blei
  6. T. Landauer
  7. Yee Whye Teh
  8. Michael I. Jordan
  9. Andriy Mnih
  10. Radford M. Neal

Who trusts Ian R. Porteous overall

  1. Sotirios P. Chatzis
  2. Hao Wang
  3. Xinxi Wang
  4. Yue Shi
  5. Dit-Yan Yeung
  6. Ulrich Paquet
  7. Tim Salimans
  8. Bettina Grün
  9. Dana Movshovitz-Attias
  10. Limin Yao

Papers from Ian R. Porteous's perspective

Ordered by how strongly the researchers Ian R. Porteous 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. Gradient-based learning applied to document recognition
  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. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers