Lauren J. O'Donnell

Computer Vision and Pattern Recognition · IEEE Transactions on Medical Imaging · 2001–2017

A researcher in the Science corpus: 4 papers; trusts 264 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lauren J. O'Donnell trusts overall

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

  1. Denis Le Bihan
  2. Christopher K. I. Williams
  3. Yoshua Bengio
  4. Andrew Y. Ng
  5. Jitendra Malik
  6. Jianbo Shi
  7. Geoffrey E. Hinton
  8. Xiaogang Wang
  9. Alex Krizhevsky
  10. Karen Simonyan

Papers from Lauren J. O'Donnell's perspective

Ordered by how strongly the researchers Lauren J. O'Donnell 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. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers