Alexander Koller

Artificial Intelligence · 2007–2020

A researcher in the Science corpus: 5 papers; trusts 43 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Koller trusts overall

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

  1. Ehud Reiter
  2. John R. Searle
  3. Terence P. Speed
  4. Marc Schröder
  5. Geoffrey E. Hinton
  6. Alec Radford
  7. Yoshua Bengio
  8. Tomas Mikolov
  9. Ilya Sutskever
  10. Regina Barzilay

Who trusts Alexander Koller overall

  1. Alessandro Lenci
  2. Inioluwa Deborah Raji
  3. Niket Tandon
  4. Simon Ostermann
  5. Samuel R. Bowman
  6. Melanie Mitchell
  7. Snigdha Chaturvedi
  8. Karl Pichotta
  9. Rachel Rudinger
  10. Aman Madaan

Papers from Alexander Koller's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers