Ulf Leser

Artificial Intelligence · 2008–2019

A researcher in the Science corpus: 6 papers; trusts 41 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Ulf Leser trusts overall

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

  1. Amit P. Sheth
  2. Donald Kossmann
  3. Dirk Weissenborn
  4. Jorge Pérez
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Sampo Pyysalo
  9. Sepp Hochreiter
  10. Robert Leaman

Who trusts Ulf Leser overall

  1. Tom Heath
  2. Christian Bizer
  3. Olaf Hartig
  4. Enrico Palumbo
  5. Keith Alexander
  6. Andreas Schwarte
  7. Nancy Fulda

Papers from Ulf Leser's perspective

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

  1. Long Short-Term Memory
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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