Chris Hokamp

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 10 papers; trusts 307 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

Whom Chris Hokamp trusts overall

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

  1. Philipp Koehn
  2. Dzmitry Bahdanau
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Franz Joseph Och
  6. Kyunghyun Cho
  7. Rico Sennrich
  8. Geoffrey E. Hinton
  9. Matthew D. Zeiler
  10. Diederik P. Kingma

Who trusts Chris Hokamp overall

  1. Bram Bulté
  2. Weijia Xu
  3. Arda Tezcan
  4. Ondrej Bojar
  5. Marine Carpuat
  6. Varvara Logacheva
  7. Lei Sha
  8. Pinzhen Chen
  9. Nicola De Cao
  10. Ximing Lu

Papers from Chris Hokamp's perspective

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

Their papers