Brian Gallagher

Artificial Intelligence · 2004–2012

A researcher in the Science corpus: 8 papers; trusts 28 researchers and is trusted by 115 researchers here, as inferred from the citation graph.

Subfields

Whom Brian Gallagher trusts overall

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

  1. Sofus A. Macskassy
  2. Foster J. Provost
  3. Qing Lu
  4. Mark Newman
  5. Xiaojin Zhu
  6. Jennifer Neville
  7. Trevor J. Hastie
  8. Lise Getoor
  9. B. Taskar
  10. David D. Jensen

Who trusts Brian Gallagher overall

  1. Bryan Perozzi
  2. Juzheng Li
  3. Linyuan Lu
  4. Leman Akoglu
  5. Keith W. Henderson
  6. Tina Eliassi-Rad
  7. Jure Leskovec
  8. Frank Lin
  9. Aditya Grover
  10. Weiping Liu

Papers from Brian Gallagher's perspective

Ordered by how strongly the researchers Brian Gallagher 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. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers