Rebecca Marvin

Artificial Intelligence · 2018

A researcher in the Science corpus: 3 papers; trusts 60 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Whom Rebecca Marvin trusts overall

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

  1. Andreas Stolcke
  2. Diederik P. Kingma
  3. Sepp Hochreiter
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Chris Dyer
  7. Julia Hockenmaier
  8. Tal Linzen
  9. Tomas Mikolov
  10. Ashish Vaswani

Who trusts Rebecca Marvin overall

  1. Alex Warstadt
  2. Tal Linzen
  3. Yoav Goldberg
  4. Thomas Wolf
  5. Yoon Kim
  6. Ian Tenney
  7. Najoung Kim
  8. Mariya Toneva
  9. R. Thomas McCoy
  10. Samuel R. Bowman

Papers from Rebecca Marvin's perspective

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

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

Their papers