Sarah Kohail

Natural Language Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sarah Kohail trusts overall

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

  1. Chris Biemann
  2. Tomas Brychcin
  3. Jeffrey Pennington
  4. David M. Blei
  5. Md Arafat Sultan
  6. Barbara Rychalska
  7. Andrew Y. Ng
  8. Richard Socher
  9. Martin Riedl
  10. Lukás Svoboda

Papers from Sarah Kohail's perspective

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

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

Their papers