Karen Elliott

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Karen Elliott trusts overall

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

  1. Alex Krizhevsky
  2. Ilya Sutskever

Papers from Karen Elliott's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Learning Multiple Layers of Features from Tiny Images
  3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Intriguing properties of neural networks
  5. Reinforcement Learning: An Introduction
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers