Michael Lewis

Computer Networks and Communications · IEEE/ACM International Conference on Human-Robot Interaction · 2005–2018

A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Lewis trusts overall

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

  1. Richard S. Sutton
  2. Ronald J. Williams

Who trusts Michael Lewis overall

  1. Weichao Qiu

Papers from Michael Lewis's perspective

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

  1. Going deeper with convolutions
  2. Human-level control through deep reinforcement learning
  3. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  4. Asynchronous Methods for Deep Reinforcement Learning
  5. Improving neural networks by preventing co-adaptation of feature detectors
  6. Building high-level features using large scale unsupervised learning
  7. Visualizing and Understanding Convolutional Networks
  8. Deep Reinforcement Learning with Double Q-Learning
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. ImageNet classification with deep convolutional neural networks

Their papers