Sinead Williamson

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sinead Williamson trusts overall

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

  1. David John Cameron MacKay
  2. Yee Whye Teh
  3. P. Deb
  4. Frank McSherry
  5. Cynthia Dwork
  6. Michael I. Jordan
  7. Geoffrey E. Hinton
  8. Yehuda Koren
  9. Joseph Sill
  10. Richard S. Zemel

Who trusts Sinead Williamson overall

  1. Mikhail Yurochkin
  2. Been Kim
  3. Finale Doshi-Velez
  4. Jacob Eisenstein
  5. Ricardo Henao
  6. Isabel Valera
  7. Mingyuan Zhou
  8. Zhiwei Fan
  9. Javier Antorán
  10. Aritra Guha

Papers from Sinead Williamson's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers