Dennis Diefenbach

Natural Language Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dennis Diefenbach trusts overall

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

  1. Antoine Bordes
  2. Anthony Fader
  3. Luke S. Zettlemoyer
  4. Jason Aaron Edward Weston
  5. Nicolas Usunier
  6. Sumit Chopra
  7. Yoshua Bengio
  8. Geoffrey E. Hinton

Who trusts Dennis Diefenbach overall

  1. Jia Zhen

Papers from Dennis Diefenbach's perspective

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

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

Their papers