Nancy Fulda

Artificial Intelligence · 2007–2022

A researcher in the Science corpus: 5 papers; trusts 23 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Nancy Fulda trusts overall

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

  1. Tomas Mikolov
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Junling Hu
  5. Mark J van Rossum
  6. Martin Lauer
  7. Xiaofeng Wang
  8. Richard Socher
  9. Jeffrey Pennington
  10. Ilya Sutskever

Who trusts Nancy Fulda overall

  1. Prithviraj Ammanabrolu
  2. Shunyu Yao
  3. Matthew J. Hausknecht
  4. Xueguang Lyu
  5. Ermo Wei
  6. Laëtitia Matignon
  7. Chris Amato
  8. Pablo Hernandez-Leal
  9. Xingdi Yuan
  10. Guillaume J. Laurent

Papers from Nancy Fulda's perspective

Ordered by how strongly the researchers Nancy Fulda 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers