David Rybach

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 13 papers; trusts 89 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom David Rybach trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Sepp Hochreiter
  6. Yoshua Bengio
  7. J. Urgen Schmidhuber
  8. Oriol Vinyals
  9. Tara N. Sainath
  10. Jan Chorowski

Who trusts David Rybach overall

  1. Jinyu Li
  2. Tara N. Sainath
  3. Rohit Prabhavalkar
  4. Peidong Wang
  5. Mingqing Chen
  6. Yanzhang He
  7. Chung-Cheng Chiu
  8. Wei Han
  9. Isaac Caswell
  10. Thibault Doutre

Papers from David Rybach's perspective

Ordered by how strongly the researchers David Rybach 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. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers