Markus Kitza

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Kitza trusts overall

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

  1. Albert Zeyer
  2. Hermann Ney
  3. Ralf Schlüter
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Timothy Dozat
  7. Martin Sundermeyer
  8. Geoffrey E. Hinton
  9. Sepp Hochreiter
  10. Alex Graves

Who trusts Markus Kitza overall

  1. Alexei Baevski

Papers from Markus Kitza's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Gradient-based learning applied to document recognition
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers