Klaus Berberich

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 7 papers; trusts 54 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Klaus Berberich trusts overall

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

  1. Fabian M. Suchanek
  2. Johannes Hoffart
  3. David N. Milne
  4. Ellen M. Voorhees
  5. Jiafeng Guo
  6. Roberto Navigli
  7. Liang Pang
  8. Geoffrey E. Hinton
  9. Karen Simonyan
  10. Sepp Hochreiter

Who trusts Klaus Berberich overall

  1. Sebastian Hofstätter
  2. Sean MacAvaney
  3. Rodrigo Nogueira
  4. Ryan T. McDonald
  5. Antoine Bordes
  6. Andrew Yates
  7. Xuchen Yao
  8. Jyun-Yu Jiang
  9. Sarasi Lalithsena
  10. Donald Metzler

Papers from Klaus Berberich's perspective

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

  1. Long Short-Term Memory
  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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers