William A. Hoff

Computer Vision and Pattern Recognition · 2003–2016

A researcher in the Science corpus: 2 papers; trusts 567 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom William A. Hoff trusts overall

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

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

Who trusts William A. Hoff overall

  1. Jun Liu
  2. Pengfei Zhang
  3. Primoz Markelj

Papers from William A. Hoff's perspective

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

Their papers