Matthew Brown

Artificial Intelligence · with Hsu · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 59 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Brown trusts overall

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

  1. Alex Krizhevsky
  2. Yurii E. Nesterov
  3. H. Brendan McMahan
  4. Gregory Cohen
  5. Geoffrey E. Hinton
  6. Christian Szegedy
  7. Yue Zhao
  8. Jia Deng
  9. Sebastian Caldas
  10. Yann LeCun

Who trusts Matthew Brown overall

  1. Qinbin Li
  2. Romy Mi Luo
  3. Sai Praneeth Karimireddy
  4. Bingsheng He

Papers from Matthew Brown's perspective

Ordered by how strongly the researchers Matthew Brown 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Going deeper with convolutions
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers