Irena Spasic

Artificial Intelligence · 2005–2020

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Irena Spasic trusts overall

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

  1. Sosuke Kobayashi
  2. Barbara A. Kitchenham
  3. Abhyuday N. Jagannatha
  4. Timothy Baldwin
  5. Yuan Luo
  6. Zhibiao Wu
  7. Daniel E. Ho
  8. Ziang Xie
  9. Clayton A. Turner
  10. Jose D. Posada

Who trusts Irena Spasic overall

  1. Deyu Zhou
  2. Sophia Ananiadou
  3. Pierre Zweigenbaum
  4. Yulan He
  5. Douglas B. Kell
  6. Dina Demner-Fushman
  7. K. Cohen

Papers from Irena Spasic's perspective

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

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

Their papers