Lawrence J. Cavedon

Artificial Intelligence · 2011–2020

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Lawrence J. Cavedon trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Paul J. Werbos
  4. Karen Simonyan
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Yann LeCun
  8. J. Urgen Schmidhuber
  9. Alex Graves
  10. Andrew Zisserman

Who trusts Lawrence J. Cavedon overall

  1. T. T. Gomes
  2. Mustaqeem

Papers from Lawrence J. Cavedon's perspective

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

Their papers