Lee A. D. Cooper

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 6 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lee A. D. Cooper trusts

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

  1. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. X. Zhang (in Computer Vision and Pattern Recognition)
  4. Radford M. Neal (in Computer Vision and Pattern Recognition)

Papers from Lee A. D. Cooper's perspective

Ordered by how strongly the researchers Lee A. D. Cooper trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  5. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  6. Deep Learning
  7. Practical Bayesian Optimization of Machine Learning Algorithms
  8. Pattern Recognition and Machine Learning
  9. TensorFlow: A system for large-scale machine learning
  10. Algorithms for Hyper-Parameter Optimization

Their papers