Ulf Jensen

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ulf Jensen trusts overall

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

  1. Geoffrey E. Hinton
  2. Radford M. Neal
  3. L. Eon Bottou
  4. Leo Breiman
  5. David D. Lewis
  6. John Scott Bridle
  7. Pedro M. Domingos

Papers from Ulf Jensen's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Improving neural networks by preventing co-adaptation of feature detectors
  6. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  7. Long Short-Term Memory
  8. Pattern Recognition and Machine Learning
  9. Attention is All you Need (Neural Information Processing Systems)
  10. What is the best multi-stage architecture for object recognition?

Their papers