Niko Moritz

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Niko Moritz trusts overall

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

  1. Alex Graves
  2. Kenneth Heafield
  3. Geoffrey E. Hinton
  4. Yarin Gal
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Linhao Dong
  9. Alexei Baevski
  10. J. Urgen Schmidhuber

Papers from Niko Moritz's perspective

Ordered by how strongly the researchers Niko Moritz 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Learning Multiple Layers of Features from Tiny Images

Their papers