Ninon Burgos

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ninon Burgos trusts overall

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

  1. John G. Sled
  2. Sébastien Ourselin
  3. Yann LeCun
  4. Marc Modat
  5. Rolf A. Heckemann
  6. Mert Rory Sabuncu
  7. Geoffrey E. Hinton
  8. Matthias Hofmann
  9. Yoshua Bengio

Who trusts Ninon Burgos overall

  1. Tao Zhou
  2. Salman Ul Hassan Dar
  3. M. Jorge Cardoso

Papers from Ninon Burgos's perspective

Ordered by how strongly the researchers Ninon Burgos 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Rectified Linear Units Improve Restricted Boltzmann Machines
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers