Reinhold Haeb-Umbach

Signal Processing · 2015–2020

A researcher in the Science corpus: 6 papers; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Reinhold Haeb-Umbach trusts overall

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

  1. Tara N. Sainath
  2. Emmanuel Vincent
  3. Alex Graves
  4. Takuya Yoshioka
  5. Özgür Yilmaz
  6. Geoffrey E. Hinton
  7. Santiago Fernández
  8. Ngoc Q. K. Duong
  9. Aäron van den Oord
  10. Yoshua Bengio

Who trusts Reinhold Haeb-Umbach overall

  1. Shinji Watanabe
  2. Jinyu Li

Papers from Reinhold Haeb-Umbach's perspective

Ordered by how strongly the researchers Reinhold Haeb-Umbach trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  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. ImageNet: A large-scale hierarchical image database

Their papers