Mark Hopkins

Artificial Intelligence · 2004–2018

A researcher in the Science corpus: 4 papers; trusts 54 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Hopkins trusts overall

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

  1. Franz Joseph Och
  2. David Chiang
  3. Hermann Ney
  4. Chin-Yew Lin
  5. Stuart Geman
  6. Philipp Koehn
  7. Michael Collins
  8. Chris Callison-Burch
  9. Kevin Knight
  10. Percy Liang

Who trusts Mark Hopkins overall

  1. Miloš Stanojević
  2. Colin Cherry
  3. Ondrej Bojar
  4. Mark Dras
  5. Philipp Koehn
  6. Baskaran Sankaran
  7. Haitao Mi
  8. Khalil Sima'an
  9. Boxing Chen
  10. Chi-kiu (羅致翹) Lo

Papers from Mark Hopkins's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet: A large-scale hierarchical image database

Their papers