Karl Krauth

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Karl Krauth trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Zhilin Yang
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. L. Eon Bottou
  7. Ilya Sutskever
  8. Yann LeCun
  9. Kaiming He
  10. Ruslan Salakhutdinov

Who trusts Karl Krauth overall

  1. Thomas Liao

Papers from Karl Krauth's perspective

Ordered by how strongly the researchers Karl Krauth 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. 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