Andrew H. Beck

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 8 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew H. Beck trusts overall

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

  1. Jerome H. Friedman
  2. Trevor J. Hastie

Who trusts Andrew H. Beck overall

  1. J. Logg
  2. Daisuke Komura
  3. D. Hanahan
  4. Zodwa Dlamini
  5. Shivaram Kalyanakrishnan
  6. Jun Xu
  7. Dayong Wang
  8. Anant Madabhushi
  9. Andre Esteva
  10. Shumpei Ishikawa

Papers from Andrew H. Beck's perspective

Ordered by how strongly the researchers Andrew H. Beck 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. ImageNet Large Scale Visual Recognition Challenge
  4. Going deeper with convolutions
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Rectified Linear Units Improve Restricted Boltzmann Machines
  10. Understanding the difficulty of training deep feedforward neural networks

Their papers