Matthew Norton

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Norton trusts overall

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

  1. Dongxian Wu
  2. Aleksander Madry
  3. Yair Carmon
  4. Hongyang Zhang
  5. Fangzhou Liao
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Yann LeCun
  9. Haifeng Qian
  10. Ludwig Schmidt

Who trusts Matthew Norton overall

  1. Junbum Cha
  2. Sanghyuk Chun
  3. Dongxian Wu

Papers from Matthew Norton's perspective

Ordered by how strongly the researchers Matthew Norton 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers