Christina Lioma

Artificial Intelligence · 2011–2020

A researcher in the Science corpus: 9 papers; trusts 127 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Christina Lioma trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Tomas Mikolov
  5. Alex Graves
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Mark Newman
  10. Sepp Hochreiter

Who trusts Christina Lioma overall

  1. Zhuyun Dai
  2. François Rousseau
  3. Jamie Callan
  4. Yufeng Zhang
  5. Michalis Vazirgiannis
  6. Iulian Serban
  7. Neema Kotonya
  8. Luyu Gao
  9. James Thorne
  10. Xueli Yu

Papers from Christina Lioma's perspective

Ordered by how strongly the researchers Christina Lioma 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. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers