William Hancock

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom William Hancock trusts overall

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

  1. Ilya Sutskever

Who trusts William Hancock overall

  1. Pradyumna Tambwekar

Papers from William Hancock's perspective

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

  1. Long Short-Term Memory
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  4. Bleu: a Method for Automatic Evaluation of Machine Translation
  5. WordNet: A Lexical Database for English
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
  9. ImageNet classification with deep convolutional neural networks
  10. Unsupervised Learning of Narrative Event Chains

Their papers