Brian D. Davison

Artificial Intelligence · 2000–2020

A researcher in the Science corpus: 7 papers; trusts 52 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Brian D. Davison trusts overall

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

  1. Thorsten Joachims
  2. Taher H. Haveliwala
  3. Ludmila I. Kuncheva
  4. Nitin Jindal
  5. Thomas Hofmann
  6. T. Griffiths
  7. Richard Socher
  8. Jon M. Kleinberg
  9. David A. Cohn
  10. Simon Tong

Who trusts Brian D. Davison overall

  1. Wessel Kraaij
  2. Mayank Bawa
  3. Fred Morstatter
  4. Ammar Ismael Kadhim
  5. Tyson Condie
  6. Thijs Westerveld
  7. Roman Egger
  8. Ugur Kursuncu
  9. Xiaoguang Qi
  10. Xiaohui Yan

Papers from Brian D. Davison's perspective

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

Their papers