David S. Matteson

Artificial Intelligence · 2011–2020

A researcher in the Science corpus: 5 papers; trusts 218 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom David S. Matteson trusts overall

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

  1. G'abor J. Sz'ekely
  2. Maria L. Rizzo
  3. Francis R. Bach
  4. Alex Krizhevsky
  5. W. Hoeffding
  6. Geoffrey E. Hinton
  7. Eric R. Ziegel
  8. Michael I. Jordan
  9. Rebecca Killick
  10. Arthur Gretton

Who trusts David S. Matteson overall

  1. Valeriy Avanesov
  2. Nicholas A. James
  3. Xin Jin
  4. Lynna Chu
  5. Jinyuan Chang
  6. Florian Pein
  7. Nazar Buzun
  8. Shuang Li
  9. Zhiqiang Guo
  10. G'abor J. Sz'ekely

Papers from David S. Matteson's perspective

Ordered by how strongly the researchers David S. Matteson 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers