Mackenzie W. Mathis

Computer Vision and Pattern Recognition · 2011–2022

A researcher in the Science corpus: 7 papers; trusts 218 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Mackenzie W. Mathis trusts overall

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

  1. Yann LeCun
  2. Jonathan Tompson
  3. Alexander Toshev
  4. Christian Szegedy
  5. Arjun Jain
  6. Geoffrey E. Hinton
  7. Kaiming He
  8. Alex Krizhevsky
  9. J. Urgen Schmidhuber
  10. Yoshua Bengio

Who trusts Mackenzie W. Mathis overall

  1. Maithra Raghu
  2. Robert M. Kanko
  3. Erica Schmidt
  4. Devis Tuia
  5. E. Laende
  6. E. Davis

Papers from Mackenzie W. Mathis's perspective

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