Benjamin Borschinger

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Borschinger trusts

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

  1. Samuel R. Bowman (in Artificial Intelligence)
  2. Kenton C. T. Lee (in Artificial Intelligence)
  3. Ming-Wei Chang (in Artificial Intelligence)
  4. Jordan L. Boyd-Graber (in Artificial Intelligence)
  5. Luke S. Zettlemoyer (in Artificial Intelligence)
  6. Jason Aaron Edward Weston (in Artificial Intelligence)

Papers from Benjamin Borschinger's perspective

Ordered by how strongly the researchers Benjamin Borschinger 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. Attention is All you Need (Neural Information Processing Systems)
  3. Bleu: a Method for Automatic Evaluation of Machine Translation
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Reading Wikipedia to Answer Open-Domain Questions
  10. ImageNet: A large-scale hierarchical image database

Their papers