Gabriel N. Perdue

Optimization & Training · 2012–2017

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gabriel N. Perdue trusts

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

  1. Yoshua Bengio (in Optimization & Training)

Papers from Gabriel N. Perdue's perspective

Ordered by how strongly the researchers Gabriel N. Perdue 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. I and J
  10. Algorithms for Hyper-Parameter Optimization

Their papers