Tamar Lucassen

Natural Language Processing · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tamar Lucassen trusts overall

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

  1. Emily M. Bender
  2. Jacob Devlin

Papers from Tamar Lucassen's perspective

Ordered by how strongly the researchers Tamar Lucassen 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. Attention is All you Need (Neural Information Processing Systems)
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers