Jonathan Miller

Optimization & Training · 2017

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

Subfields

Whom Jonathan Miller trusts

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

  1. Yoshua Bengio (in Optimization & Training)

Papers from Jonathan Miller's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Going deeper with convolutions
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Et al
  5. Practical Bayesian Optimization of Machine Learning Algorithms
  6. Caffe: Convolutional Architecture for Fast Feature Embedding
  7. Random Search for Hyper-Parameter Optimization
  8. An empirical evaluation of deep architectures on problems with many factors of variation
  9. Algorithms for Hyper-Parameter Optimization
  10. Gradient-based Hyperparameter Optimization through Reversible Learning

Their papers