Matt Deitke

Computer Vision and Pattern Recognition · 2017–2024

A researcher in the Science corpus: 7 papers; trusts 354 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Matt Deitke trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Ilya Sutskever
  8. Yann LeCun
  9. Karen Simonyan
  10. Shaoqing Ren

Who trusts Matt Deitke overall

  1. Luca Weihs
  2. Jiaxiang Tang
  3. S. Gadre
  4. Minghua Liu
  5. Ruoxi Shi
  6. Peng Wang
  7. Apoorv Khandelwal
  8. Yuan Liu
  9. Kai Zhang
  10. Andreas Blattmann

Papers from Matt Deitke's perspective

Ordered by how strongly the researchers Matt Deitke 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers