Jeremy Bensley

Artificial Intelligence · 2007

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jeremy Bensley trusts overall

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

  1. B. Taskar
  2. Michael Collins
  3. Simon Lacoste-Julien
  4. Martha Palmer
  5. Ted Pedersen
  6. Adam Meyers
  7. Ido Dagan

Papers from Jeremy Bensley's perspective

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

  1. Head-Driven Statistical Models for Natural Language Parsing
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Building a Large Annotated Corpus of English: The Penn Treebank
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers