Daniel Deutch

Natural Language Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Daniel Deutch trusts

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

  1. Luke S. Zettlemoyer (in Natural Language Processing)
  2. Yoshua Bengio (in Artificial Intelligence)
  3. Michael Collins (in Artificial Intelligence)
  4. Ming-Wei Chang (in Natural Language Processing)
  5. Christopher D. Manning (in Artificial Intelligence)
  6. Diederik P. Kingma (in Artificial Intelligence)
  7. Percy Liang (in Artificial Intelligence)
  8. Geoffrey E. Hinton (in Artificial Intelligence)
  9. Jimmy Ba (in Artificial Intelligence)
  10. Ilya Sutskever (in Artificial Intelligence)

Who trusts Daniel Deutch

  1. Tushar Khot (in Artificial Intelligence)

Papers from Daniel Deutch's perspective

Ordered by how strongly the researchers Daniel Deutch trusts endorse each paper. Same corpus, a different order for every researcher.

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Long Short-Term Memory
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers