Mark Brozier Cartwright

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Brozier Cartwright trusts overall

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

  1. Matthew D. Hoffman
  2. Justin Salamon
  3. Andrew Gelman
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Annamaria Mesaros
  7. Emmanuel Vincent
  8. Brian McFee
  9. Sergey Ioffe
  10. Valentin Emiya

Who trusts Mark Brozier Cartwright overall

  1. Eduardo Fonseca
  2. Babak Naderi

Papers from Mark Brozier Cartwright's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Et al
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers