Taylor Berg-Kirkpatrick

Artificial Intelligence · with Klein · 2008–2018

A researcher in the Science corpus: 6 papers; trusts 224 researchers and is trusted by 70 researchers here, as inferred from the citation graph.

Subfields

Whom Taylor Berg-Kirkpatrick trusts overall

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

  1. D. Gillick
  2. Chin-Yew Lin
  3. Ani Nenkova
  4. Yuhai Wu
  5. Daniel Klein
  6. Nathan D. Ratliff
  7. Ilya Sutskever
  8. Koby Crammer
  9. Geoffrey E. Hinton
  10. Yoshua Bengio

Who trusts Taylor Berg-Kirkpatrick overall

  1. Greg Durrett
  2. Kai Hong
  3. Yang Liu
  4. Jin-ge Yao
  5. Shay B. Cohen
  6. Yen-Chun Chen
  7. Mirella Lapata
  8. Yuxiang Wu
  9. Kai Hong
  10. Soravit Changpinyo

Papers from Taylor Berg-Kirkpatrick's perspective

Ordered by how strongly the researchers Taylor Berg-Kirkpatrick 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers