Carl A. Gunter

Artificial Intelligence · 2000–2020

A researcher in the Science corpus: 14 papers; trusts 99 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Carl A. Gunter trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Reza Shokri
  4. Yann LeCun
  5. Kamalika Chaudhuri
  6. Diederik P. Kingma
  7. Cynthia Dwork
  8. Nicolas Papernot
  9. Yoshua Bengio
  10. Kaiming He

Who trusts Carl A. Gunter overall

  1. Roel J. Wieringa
  2. Ahmed Salem
  3. Bargav Jayaraman
  4. Lawrence Chung
  5. Liwei Song
  6. Aleksei Triastcyn
  7. Reza Shokri

Papers from Carl A. Gunter's perspective

Ordered by how strongly the researchers Carl A. Gunter 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. ImageNet: A large-scale hierarchical image database
  4. Long Short-Term Memory
  5. Learning Multiple Layers of Features from Tiny Images
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. GENERATIVE ADVERSARIAL NETS
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers