Aonghus Lawlor

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 6 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Aonghus Lawlor trusts overall

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

  1. Jonathan L. Herlocker
  2. Jesse Vig
  3. Marek J Druzdzel
  4. John Riedl
  5. J. Konstan
  6. Nava Tintarev
  7. William R. Swartout
  8. Mustafa Bilgic
  9. Frode Sørmo
  10. Shilad Sen

Who trusts Aonghus Lawlor overall

  1. Yongfeng Zhang
  2. Xu Chen
  3. Ramesh Baral

Papers from Aonghus Lawlor's perspective

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

  1. Long Short-Term Memory
  2. Explaining collaborative filtering recommendations
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Rule-based expert systems: The mycin experiments of the stanford heuristic programming project
  8. Deep Visual-Semantic Alignments for Generating Image Descriptions
  9. Is seeing believing?: how recommender system interfaces affect users' opinions (International Conference on Human Factors in Computing Systems)
  10. Gradient-based learning applied to document recognition

Their papers