Eva Sharma

Natural Language Processing · with Li · 2019

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Eva Sharma trusts overall

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

  1. Steven Bird
  2. Ilya Sutskever
  3. K. McKeown
  4. Dzmitry Bahdanau
  5. Yoshua Bengio
  6. Regina Barzilay
  7. Geoffrey E. Hinton
  8. Oriol Vinyals
  9. John C. Duchi
  10. Diederik P. Kingma

Who trusts Eva Sharma overall

  1. Wojciech Kryscinski
  2. Wen Xiao
  3. Jonathan Pilault
  4. Antonio A. Ginart
  5. Junxian He
  6. Armen Aghajanyan
  7. Muthu Kumar Chandrasekaran
  8. Izzeddin Gur
  9. Mandy Guo
  10. Alexander R. Fabbri

Papers from Eva Sharma's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers