Alina Karakanta

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alina Karakanta trusts overall

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

  1. Diederik P. Kingma
  2. Graham Neubig
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Surafel Melaku Lakew
  6. Ilya Sutskever
  7. Jimmy Ba
  8. Alex Krizhevsky
  9. Ashish Vaswani
  10. Philipp Koehn

Papers from Alina Karakanta's perspective

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

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

Their papers