Paula Fortuna

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 42 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Paula Fortuna trusts overall

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

  1. Zeerak Talat
  2. Klaus Krippendorff
  3. P. Burnap
  4. Marcos Zampieri
  5. Tomas Mikolov
  6. Swati Agarwal
  7. Karthik Dinakar
  8. Piotr Bojanowski
  9. Jeffrey Pennington
  10. Ritesh Kumar

Who trusts Paula Fortuna overall

  1. Bertie Vidgen
  2. Svetlana Kiritchenko
  3. Emily Dinan
  4. Jing Xu
  5. Joni O. Salminen
  6. Tommaso Caselli
  7. Valerio Basile
  8. Isar Nejadgholi
  9. Michael Wiegand
  10. Marzieh Mozafari

Papers from Paula Fortuna's perspective

Ordered by how strongly the researchers Paula Fortuna trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. GloVe: Global Vectors for Word Representation
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers