Katherine Stasaski

Natural Language Processing · 2017

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 Katherine Stasaski trusts overall

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

  1. Michael Heilman
  2. Noah A. Smith

Papers from Katherine Stasaski's perspective

Ordered by how strongly the researchers Katherine Stasaski 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Efficient Estimation of Word Representations in Vector Space

Their papers