Natalia Shakhovska

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Natalia Shakhovska trusts overall

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

  1. Karen Simonyan
  2. L. V. D. van der Maaten
  3. Geoffrey E. Hinton
  4. Sinno Jialin Pan
  5. Saeed Masoudnia
  6. Andrew Zisserman
  7. Rong-En Fan
  8. Olga Russakovsky
  9. Alex Krizhevsky
  10. Qiang Yang

Papers from Natalia Shakhovska's perspective

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

Their papers