Ben Krause

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 9 papers; trusts 194 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Krause trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Sepp Hochreiter
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. J. Urgen Schmidhuber
  8. Alex Krizhevsky
  9. Tomas Mikolov
  10. Yann LeCun

Who trusts Ben Krause overall

  1. Anusha Nagabandi
  2. Sergey Levine
  3. Chelsea Finn
  4. Alec Radford
  5. Ignasi Clavera
  6. Guy Tevet
  7. Ximing Lu
  8. Chengyue Gong
  9. Angeliki Lazaridou
  10. Zhilin Yang

Papers from Ben Krause's perspective

Ordered by how strongly the researchers Ben Krause 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers