Michael J. Denkowski

Artificial Intelligence · 2009–2018

A researcher in the Science corpus: 7 papers; trusts 188 researchers and is trusted by 641 researchers here, as inferred from the citation graph.

Subfields

Whom Michael J. Denkowski trusts overall

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

  1. Philipp Koehn
  2. Diederik P. Kingma
  3. Rico Sennrich
  4. Ilya Sutskever
  5. Franz Joseph Och
  6. Yoshua Bengio
  7. Andreas Stolcke
  8. Geoffrey E. Hinton
  9. Jimmy Ba
  10. Dzmitry Bahdanau

Who trusts Michael J. Denkowski overall

  1. Mohit Bansal
  2. Ramakanth Pasunuru
  3. Desmond Elliott
  4. Jianfeng Wang
  5. Graham Neubig
  6. Jiuxiang Gu
  7. Zhengyuan Yang
  8. Jie Lei
  9. Zhe Gan
  10. Jiasen Lu

Papers from Michael J. Denkowski's perspective

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

Their papers