Grant Erdmann

Natural Language Processing · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Grant Erdmann trusts overall

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

  1. Philipp Koehn
  2. Michel Galley
  3. Ilya Sutskever
  4. Christopher D. Manning
  5. Nadir Durrani
  6. Oriol Vinyals
  7. Kenneth Heafield
  8. Jacob Devlin
  9. Yoshua Bengio
  10. Dzmitry Bahdanau

Papers from Grant Erdmann's perspective

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

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

Their papers