Jonathan K. Kummerfeld

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 6 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan K. Kummerfeld trusts overall

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

  1. Luke S. Zettlemoyer
  2. Ilya Sutskever
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Dzmitry Bahdanau
  7. Michael Collins
  8. Oriol Vinyals
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Jonathan K. Kummerfeld overall

  1. Tao Yu
  2. Matthew Henderson
  3. Jonathan Herzig
  4. Amir Vakili Tahami
  5. Peter Shaw
  6. Ruiqi Zhong
  7. Byeong-Hoon So
  8. Nitarshan Rajkumar
  9. Demi Guo

Papers from Jonathan K. Kummerfeld's perspective

Ordered by how strongly the researchers Jonathan K. Kummerfeld 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers