José Ranilla

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom José Ranilla trusts overall

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

  1. Alex Krizhevsky

Papers from José Ranilla's perspective

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

  1. Learning Multiple Layers of Features from Tiny Images
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Practical Bayesian Optimization of Machine Learning Algorithms
  4. Random Search for Hyper-Parameter Optimization
  5. ImageNet classification with deep convolutional neural networks
  6. Multi-column deep neural networks for image classification
  7. Gradient-based learning applied to document recognition
  8. Algorithms for Hyper-Parameter Optimization
  9. An empirical evaluation of deep architectures on problems with many factors of variation
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers