Lisa Beinborn

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Lisa Beinborn trusts overall

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

  1. Jeffrey Pennington
  2. Jacob Devlin
  3. Alexander G. Huth

Who trusts Lisa Beinborn overall

  1. R. Thomas McCoy
  2. Michael A. Lepori
  3. Grzegorz Chrupała
  4. Julian Michael
  5. Paul Soulos
  6. Amil Merchant

Papers from Lisa Beinborn's perspective

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

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

Their papers