Anna Noel-Storr

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anna Noel-Storr trusts overall

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

  1. Andrew Y. Ng
  2. Leo Breiman
  3. Thomas G. Dietterich
  4. Gerard A. Salton
  5. Jeffrey Pennington
  6. James Bergstra
  7. Byron C. Wallace
  8. Geoffrey E. Hinton

Who trusts Anna Noel-Storr overall

  1. Eric P. Lehman

Papers from Anna Noel-Storr's perspective

Ordered by how strongly the researchers Anna Noel-Storr trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Dropout: a simple way to prevent neural networks from overfitting
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. GloVe: Global Vectors for Word Representation
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers