Sofia Serrano

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 77 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Sofia Serrano trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Yoon Kim
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Dzmitry Bahdanau
  7. Ilya Sutskever
  8. Jimmy Ba
  9. Alex Krizhevsky
  10. Jiwei Li

Who trusts Sofia Serrano overall

  1. Alon Jacovi
  2. Sarah Wiegreffe
  3. Michael Sejr Schlichtkrull
  4. Nicola De Cao
  5. Anna Rogers
  6. Eric Wallace
  7. Sachin Kumar
  8. Shikhar Vashishth
  9. Charles Lovering
  10. Yoav Goldberg

Papers from Sofia Serrano's perspective

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

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

Their papers