Maribeth Rauh

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Maribeth Rauh trusts overall

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

  1. Geoffrey E. Hinton
  2. Chin-Yew Lin
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Su Lin Blodgett
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Kaiming He
  9. Emily M. Bender
  10. Alec Radford

Papers from Maribeth Rauh's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  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. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  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