Andreas Nautsch

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 7 papers; trusts 20 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Andreas Nautsch trusts overall

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

  1. Massimiliano Todisco
  2. Tomi H. Kinnunen
  3. Geoffrey E. Hinton
  4. David Snyder
  5. Xin Eric Wang
  6. Arsha Nagrani
  7. Alex Graves
  8. Daniel Povey
  9. Yoshua Bengio
  10. Jimmy Ba

Who trusts Andreas Nautsch overall

  1. Hemlata Tak

Papers from Andreas Nautsch's perspective

Ordered by how strongly the researchers Andreas Nautsch 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Layer Normalization
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. WaveNet: A Generative Model for Raw Audio

Their papers