Karen M. Gettings

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Karen M. Gettings trusts overall

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

  1. Florian Tramèr
  2. Yuval Yarom
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Song Han
  7. Ilya Sutskever
  8. Victor Costan
  9. Ian J. Goodfellow

Papers from Karen M. Gettings's perspective

Ordered by how strongly the researchers Karen M. Gettings trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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