Clara Tump

Natural Language Processing · 2018

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Clara Tump trusts overall

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

  1. Philipp Koehn
  2. Arne Köhn
  3. Yonatan Belinkov
  4. Sepp Hochreiter
  5. Ilya Sutskever
  6. Thang Luong
  7. J. Urgen Schmidhuber
  8. Xing Shi
  9. Yoshua Bengio
  10. Geoffrey E. Hinton

Papers from Clara Tump's perspective

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

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

Their papers