Dave Golland

Natural Language Processing · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Dave Golland trusts overall

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

  1. Terry Regier
  2. Laura A. Carlson
  3. Max Welling Donald
  4. Luke S. Zettlemoyer
  5. David L. Chen
  6. Raymond J. Mooney
  7. Percy Liang
  8. Yuk Wah Wong
  9. Daniel Klein
  10. Michael Collins

Who trusts Dave Golland overall

  1. Mateusz Malinowski
  2. Jacob Andreas
  3. Daniel Klein
  4. Rowan Zellers
  5. Mario Fritz
  6. Sida I. Wang
  7. Sheng Shen
  8. Md. Zakir Hossain
  9. Percy Liang
  10. Sergio Guadarrama

Papers from Dave Golland's perspective

Ordered by how strongly the researchers Dave Golland 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers