Olivier Colliot

Computer Vision and Pattern Recognition · 2009–2019

A researcher in the Science corpus: 6 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Olivier Colliot trusts overall

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

  1. John Ashburner
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Vladimir Naumovich Vapni

Papers from Olivier Colliot's perspective

Ordered by how strongly the researchers Olivier Colliot 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (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. 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