Henning Sperr

Natural Language Processing · 2013

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Henning Sperr trusts overall

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

  1. Geoffrey E. Hinton
  2. Holger Schwenk
  3. Andreas Stolcke
  4. Helmut Schmid
  5. Andriy Mnih
  6. Stanley F. Chen
  7. Yoshua Bengio
  8. Tomas Mikolov
  9. Radford M. Neal
  10. Philipp Koehn

Who trusts Henning Sperr overall

  1. Clara Vania
  2. Siyu Qiu
  3. Adam Lopez
  4. Qing Cui

Papers from Henning Sperr's perspective

Ordered by how strongly the researchers Henning Sperr 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers