Matthew J. Streeter

Artificial Intelligence · 2008–2014

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 62 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew J. Streeter trusts overall

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

  1. Martin A. Zinkevich
  2. Mark Dredze
  3. Maxim Sviridenko
  4. Uriel Feige
  5. Tong Zhang
  6. Koby Crammer
  7. Andreas Krause
  8. Shai Shalev-Shwartz
  9. Nick Littlestone
  10. Carla P. Gomes

Who trusts Matthew J. Streeter overall

  1. H. Brendan McMahan
  2. Francesco Orabona
  3. D. Golovin
  4. Elad Hazan
  5. Sashank J. Reddi
  6. Chi Wang
  7. Alexander Grubb
  8. Andreas Krause
  9. Yajun Wang
  10. Xiaoxia Wu

Papers from Matthew J. Streeter's perspective

Ordered by how strongly the researchers Matthew J. Streeter 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. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  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