Robert Litschko

Artificial Intelligence · 2020–2026

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Robert Litschko trusts overall

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

  1. Tomas Mikolov
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. Philipp Koehn
  6. Diederik P. Kingma
  7. Jörg Tiedemann
  8. Alex Krizhevsky
  9. Xavier Glorot
  10. Yann LeCun

Papers from Robert Litschko's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers