Catherine Finegan-Dollak

Natural Language Processing · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Catherine Finegan-Dollak trusts overall

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

  1. Luke S. Zettlemoyer
  2. Ilya Sutskever
  3. Michael Collins
  4. Dzmitry Bahdanau
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Percy Liang
  8. Oriol Vinyals
  9. Quoc V. Le
  10. Diederik P. Kingma

Who trusts Catherine Finegan-Dollak overall

  1. Tao Yu
  2. Jonathan Herzig
  3. Peter Shaw
  4. Ruiqi Zhong
  5. Byeong-Hoon So
  6. Nitarshan Rajkumar
  7. Demi Guo
  8. Zhuang Li
  9. Naihao Deng
  10. Rui Zhang

Papers from Catherine Finegan-Dollak's perspective

Ordered by how strongly the researchers Catherine Finegan-Dollak trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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