Morten Goodwin Olsen

2019

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

Whom Morten Goodwin Olsen trusts

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

  1. John C. Gittins (in Reinforcement Learning)

Papers from Morten Goodwin Olsen's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Squeeze-and-Excitation Networks
  3. A theory of the learnable
  4. BinaryConnect: Training Deep Neural Networks with binary weights during propagations
  5. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
  6. Some aspects of the sequential design of experiments
  7. Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
  8. Mining association rules between sets of items in large databases
  9. Bandit processes and dynamic allocation indices
  10. An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Their papers