Jeffrey L. McKinstry

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 31 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jeffrey L. McKinstry trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Ilya Loshchilov
  5. Kaiming He
  6. Ilya Sutskever
  7. Yann LeCun
  8. Sergey Ioffe
  9. Diederik P. Kingma
  10. Matthieu Courbariaux

Who trusts Jeffrey L. McKinstry overall

  1. Markus Nagel
  2. Yuhang Li
  3. Yelysei Bondarenko
  4. Tijmen Blankevoort
  5. Jing Liu
  6. Alexandre D'efossez
  7. Ying Wang
  8. Jing Jin
  9. Zechun Liu
  10. Sein Park

Papers from Jeffrey L. McKinstry's perspective

Ordered by how strongly the researchers Jeffrey L. McKinstry trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Learning Multiple Layers of Features from Tiny Images
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers