Aoife Cahill

Artificial Intelligence · 2006–2017

A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Aoife Cahill trusts overall

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

  1. Chin-Yew Lin
  2. Michael Collins
  3. Ehud Reiter
  4. Anya Belz
  5. Daniel Gildea
  6. Amanda Stent
  7. Salim Roukos
  8. Andreas Stolcke
  9. Eduard H. Hovy
  10. Tomás Ward

Who trusts Aoife Cahill overall

  1. Yanli Sun
  2. Joel R. Tetreault
  3. Anu Venkatesh
  4. Albert Gatt
  5. David Weiss
  6. Percy Liang
  7. Vidur Joshi
  8. Sudha Rao
  9. Chandra Khatri
  10. Mingbo Ma

Papers from Aoife Cahill's perspective

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

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

Their papers