Kiri L. Wagstaff

Artificial Intelligence · 2000–2017

A researcher in the Science corpus: 6 papers; trusts 14 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Kiri L. Wagstaff trusts overall

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

  1. Jaime G. Carbonell
  2. James Franklin
  3. Mark A. Hall
  4. Carla P. Gomes
  5. Arthur P. Dempster
  6. Olivier Chapelle
  7. Eibe Frank
  8. James A. Hanley
  9. S. Anand
  10. Usama M. Fayyad

Who trusts Kiri L. Wagstaff overall

  1. Kush R. Varshney
  2. Ian N. Davidson
  3. Eric P. Xing
  4. Daniel Klein
  5. Ehsan Amid
  6. Francis R. Bach
  7. Sugato Basu
  8. Iqbal H. Sarker
  9. Marc G. Genton
  10. Peter Henderson

Papers from Kiri L. Wagstaff's perspective

Ordered by how strongly the researchers Kiri L. Wagstaff 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. ImageNet classification with deep convolutional neural networks
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers