K. Riedhammer

Artificial Intelligence · 2010–2014

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom K. Riedhammer trusts overall

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

  1. Chin-Yew Lin
  2. Ryan T. McDonald
  3. C. Burges
  4. Robert E. Schapire
  5. Ani Nenkova
  6. D. Gillick
  7. Jaime G. Carbonell
  8. Yoram Singer
  9. Rebecca J. Passonneau
  10. Jade Goldstein-Stewart

Who trusts K. Riedhammer overall

  1. Kai Hong
  2. Kai Hong
  3. Hui-Ching Lin
  4. J. Bilmes
  5. Ani Nenkova
  6. Takaaki Hori
  7. Mahak Gambhir
  8. Chih-Wen Goo

Papers from K. Riedhammer's perspective

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

  1. ROUGE: A Package for Automatic Evaluation of Summaries
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. ImageNet classification with deep convolutional neural networks
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Gradient-based learning applied to document recognition
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers