Felix Hieber

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 60 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Felix Hieber trusts overall

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

  1. Diederik P. Kingma
  2. Rico Sennrich
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Jimmy Ba
  7. Dzmitry Bahdanau
  8. Kyunghyun Cho
  9. Alex Krizhevsky
  10. Philipp Koehn

Who trusts Felix Hieber overall

  1. David Vilar
  2. Weijia Xu
  3. Marine Carpuat
  4. Matt Post
  5. Gongbo Tang
  6. Matīss Rikters
  7. Tobias Domhan
  8. Kevin Duh
  9. Xing Niu
  10. Brian Thompson

Papers from Felix Hieber's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers