Ian Stavness

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 456 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Ian Stavness trusts overall

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

  1. Ross B. Girshick
  2. Alex Krizhevsky
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Andrew Zisserman
  7. Ilya Sutskever
  8. Karen Simonyan
  9. Yoshua Bengio
  10. Christian Szegedy

Who trusts Ian Stavness overall

  1. Shubhra Aich
  2. Giuseppe Amato
  3. Luca Ciampi

Papers from Ian Stavness's perspective

Ordered by how strongly the researchers Ian Stavness 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. Attention is All you Need (Neural Information Processing Systems)
  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