Johan Hall

Computer Vision and Pattern Recognition · 2006–2019

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Johan Hall trusts overall

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

  1. Ryan T. McDonald
  2. Michael Collins
  3. Joakim Nivre
  4. Hiroyasu Yamada
  5. Brian MacWhinney
  6. Fernando C Pereira
  7. John Blitzer
  8. Yann LeCun
  9. Sabine Buchholz
  10. Brian Roark

Who trusts Johan Hall overall

  1. Yoav Goldberg
  2. Jayant Krishnamurthy
  3. Yue Zhang
  4. Nizar Habash
  5. Rico Sennrich
  6. Alice Lai
  7. Joakim Nivre
  8. Richard Johansson
  9. Danqi Chen
  10. Yuval Marton

Papers from Johan Hall's perspective

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

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

Their papers