Laura Rosseel

Language and Linguistics · 2021

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

Subfields

Whom Laura Rosseel trusts overall

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

  1. Jacob Eisenstein
  2. Kathryn Campbell‐Kibler
  3. Penelope Eckert
  4. Emily M. Bender

Papers from Laura Rosseel's perspective

Ordered by how strongly the researchers Laura Rosseel 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. GloVe: Global Vectors for Word Representation
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers