David Reitter

Artificial Intelligence · 2006–2021

A researcher in the Science corpus: 12 papers; trusts 367 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom David Reitter trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Ruslan Salakhutdinov
  5. Alex Krizhevsky
  6. Radford M. Neal
  7. Ilya Sutskever
  8. Kaiming He
  9. Yann LeCun
  10. Jimmy Ba

Who trusts David Reitter overall

  1. Rajakrishnan Rajkumar
  2. Ondrej Dusek
  3. Nouha Dziri
  4. Marten van Schijndel
  5. Linjie Li
  6. Zhe Gan
  7. Hannah Rashkin
  8. Yen-Chun Chen
  9. Michael. White
  10. Josh Tenenbaum

Papers from David Reitter's perspective

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

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

Their papers