Michael Strube

Natural Language Processing · AAAI Conference on Artificial Intelligence · 2006–2016

A researcher in the Science corpus: 7 papers; trusts 72 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Strube trusts overall

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

  1. Dekang Lin
  2. Xiaoqiang Luo
  3. Vladimir Naumovich Vapni
  4. Marti A. Hearst
  5. Sameer Pradhan
  6. Wee Meng Soon
  7. Daniel Gildea
  8. Adam L. Berger
  9. Simone Paolo Ponzetto
  10. T. Landauer

Who trusts Michael Strube overall

  1. Simone Paolo Ponzetto
  2. Lev-Arie Ratinov
  3. Rada Mihalcea
  4. Yang Trista Cao
  5. Greg Durrett
  6. Sameer Pradhan
  7. Fabian M. Suchanek
  8. Dan Roth
  9. Vincent Ng
  10. Kira Radinsky

Papers from Michael Strube's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. GloVe: Global Vectors for Word Representation

Their papers