Lance De Vine

Natural Language Processing · 2014

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lance De Vine trusts overall

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

  1. Tomas Mikolov
  2. Ronan Collobert
  3. Ted Pedersen
  4. Jason Aaron Edward Weston
  5. Yoshua Bengio
  6. Kai Chen
  7. Ilya Sutskever
  8. Greg S. Corrado
  9. Geoffrey E. Hinton
  10. Joseph Dean

Who trusts Lance De Vine overall

  1. Guido Zuccon
  2. Jing Li
  3. Kezban Dilek Onal

Papers from Lance De Vine's perspective

Ordered by how strongly the researchers Lance De Vine 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. Gradient-based learning applied to document recognition
  6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Efficient Estimation of Word Representations in Vector Space

Their papers