Eugen Ruppert

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eugen Ruppert trusts overall

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

  1. Roberto Navigli
  2. Dekang Lin
  3. Hinrich Schütze

Papers from Eugen Ruppert's perspective

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

  1. Efficient Estimation of Word Representations in Vector Space
  2. WordNet: A Lexical Database for English
  3. Long Short-Term Memory
  4. Accurate Unlexicalized Parsing
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Improved backing-off for M-gram language modeling
  8. ImageNet classification with deep convolutional neural networks
  9. Automatic Word Sense Discrimination
  10. Gradient-based learning applied to document recognition

Their papers