Alexander Mathis

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 5 papers; trusts 205 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Mathis trusts overall

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

  1. Yann LeCun
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Christian Szegedy
  6. Yoshua Bengio
  7. Alexander Toshev
  8. Ross B. Girshick
  9. Ilya Sutskever
  10. J. Urgen Schmidhuber

Who trusts Alexander Mathis overall

  1. Robert M. Kanko
  2. Mackenzie W. Mathis
  3. Maithra Raghu
  4. Talmo D. Pereira
  5. Erick Moen
  6. E. Laende
  7. Erica Schmidt
  8. Devis Tuia
  9. Maximilian Pichler
  10. E. Davis

Papers from Alexander Mathis's perspective

Ordered by how strongly the researchers Alexander Mathis 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  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. Going deeper with convolutions

Their papers