Laura Dietz

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Laura Dietz trusts overall

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

  1. Jeffrey Dalton
  2. Donald Metzler
  3. W. Bruce Croft
  4. Chenyan Xiong
  5. Rodrigo Nogueira
  6. Alexander Kotov
  7. Paolo Ferragina
  8. Robert Krovetz
  9. Chengxiang Zhai
  10. Jamie Callan

Who trusts Laura Dietz overall

  1. Rodrigo Nogueira
  2. Chenyan Xiong
  3. Zeynep Akkalyoncu Yilmaz
  4. Jamie Callan
  5. Zhuyun Dai
  6. Omar Khattab
  7. Sean MacAvaney
  8. Jimmy J. Lin
  9. Nick Craswell
  10. Wei Yang

Papers from Laura Dietz's perspective

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

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

Their papers