Günter Neumann

Artificial Intelligence · with Dagan · 2007–2017

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Günter Neumann trusts overall

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

  1. Dekang Lin
  2. Rico Sennrich
  3. Daniel Klein
  4. Razvan C. Bunescu
  5. Courtney Corley
  6. Marta Ruiz Costa-jussà
  7. John D. Lafferty
  8. Christopher D. Manning
  9. Yoshua Bengio
  10. Geoffrey E. Hinton

Who trusts Günter Neumann overall

  1. Yonatan Belinkov
  2. Samuel R. Bowman

Papers from Günter Neumann's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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