Dina Demner-Fushman

Artificial Intelligence · 2006–2020

A researcher in the Science corpus: 17 papers; trusts 201 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Dina Demner-Fushman trusts overall

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

  1. Alan R. Aronson
  2. Ellen M. Voorhees
  3. Geoffrey E. Hinton
  4. Yiming Yang
  5. Chih-Jen Lin
  6. Marcelo Fiszman
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Wendy W. Chapman

Who trusts Dina Demner-Fushman overall

  1. Simon Suster
  2. Xiaosong Wang
  3. Oleksandr Kolomiyets
  4. Christina Sauper
  5. Walter Daelemans
  6. Su Nam Kim
  7. Preethi Raghavan
  8. Yifan Peng
  9. William R. Hersh
  10. Regina Barzilay

Papers from Dina Demner-Fushman's perspective

Ordered by how strongly the researchers Dina Demner-Fushman 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers