David Schlangen

Artificial Intelligence · 2004–2021

A researcher in the Science corpus: 10 papers; trusts 732 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom David Schlangen trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Kaiming He
  7. Yann LeCun
  8. Richard S. Sutton
  9. Alex Graves
  10. Jacob Devlin

Who trusts David Schlangen overall

  1. Alon Jacovi
  2. Bernard J. Koch
  3. Emily L. Denton
  4. Ana Marasovic
  5. Ben Hutchinson
  6. Rohan Anil
  7. A. Hanna
  8. Tim Miller
  9. Shubham Agarwal
  10. Yoav Goldberg

Papers from David Schlangen's perspective

Ordered by how strongly the researchers David Schlangen 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers