Tara P. Fletcher

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tara P. Fletcher trusts

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

  1. Alexandru Cristian Telea (in Computer Vision and Pattern Recognition)
  2. Iroon Polytechniou (in Computational Biology & Bioinformatics)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Tara P. Fletcher's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Et al
  5. Network In Network
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. Striving for Simplicity: The All Convolutional Net
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers