Samuel Läubli

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Samuel Läubli trusts overall

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

  1. Ondrej Bojar
  2. Ilya Sutskever
  3. Dzmitry Bahdanau
  4. Nal Kalchbrenner
  5. Yoshua Bengio
  6. Philipp Koehn
  7. Kyunghyun Cho
  8. Oriol Vinyals
  9. Geoffrey E. Hinton
  10. Aniket Kittur

Who trusts Samuel Läubli overall

  1. Brian Thompson
  2. Felix Stahlberg
  3. Martin Popel
  4. Matt Post
  5. Yuchen Eleanor Jiang
  6. Samuel R. Bowman
  7. Inioluwa Deborah Raji
  8. Philipp Koehn
  9. Kellie Webster
  10. Rico Sennrich

Papers from Samuel Läubli's perspective

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

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

Their papers