Christopher Dane Shulby

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 5 papers; trusts 66 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Christopher Dane Shulby trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Jimmy Ba
  5. Alex Krizhevsky
  6. Alex Graves
  7. Ilya Sutskever
  8. Yann LeCun
  9. Kyunghyun Cho
  10. Dzmitry Bahdanau

Who trusts Christopher Dane Shulby overall

  1. Cong Han
  2. Matt Le
  3. Edresson Casanova
  4. Nima Mesgarani
  5. Alexander H. Liu

Papers from Christopher Dane Shulby's perspective

Ordered by how strongly the researchers Christopher Dane Shulby 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers