Jack Murtagh

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Jack Murtagh trusts overall

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

  1. Cynthia Dwork
  2. E.J. Candes
  3. Yann LeCun
  4. Nicolas Papernot
  5. Haitham Hassanieh
  6. Kaiming He
  7. Nicholas Carlini
  8. Guy N. Rothblum
  9. Thomas Blumensath
  10. Geoffrey E. Hinton

Who trusts Jack Murtagh overall

  1. Muneeb Ul Hassan
  2. Mark Bun
  3. Salil P. Vadhan
  4. Ilya Mironov
  5. Mubashir Husain Rehmani
  6. Florian Tramèr
  7. Cynthia Dwork
  8. Vitaly Feldman
  9. Yu-Xiang Wang
  10. Albert Cheu

Papers from Jack Murtagh's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  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. Going deeper with convolutions

Their papers