Dan Goldwasser

Natural Language Processing · 2009–2019

A researcher in the Science corpus: 7 papers; trusts 119 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Dan Goldwasser trusts overall

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

  1. Luke S. Zettlemoyer
  2. Raymond J. Mooney
  3. Michael Collins
  4. Diederik P. Kingma
  5. Yuk Wah Wong
  6. Geoffrey E. Hinton
  7. Christopher D. Manning
  8. Yoshua Bengio
  9. Ruifang Ge
  10. Sepp Hochreiter

Who trusts Dan Goldwasser overall

  1. Percy Liang
  2. Yoav Artzi
  3. Jayant Krishnamurthy
  4. Luke S. Zettlemoyer
  5. David L. Chen
  6. Jonathan Berant
  7. Hoifung Poon
  8. Qingqing Cai
  9. Ming-Wei Chang
  10. Shyam Upadhyay

Papers from Dan Goldwasser's perspective

Ordered by how strongly the researchers Dan Goldwasser 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers