Daniel Tanneberg

Cognitive Science & Psychology · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Tanneberg trusts overall

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

  1. David J. Foster
  2. Brad E. Pfeiffer
  3. J. Urgen Schmidhuber
  4. Richard M. Ryan
  5. Pierre-Yves Oudeyer
  6. Matthew A. Wilson
  7. J. Weng
  8. Andrew Barto
  9. Edward L. Deci
  10. Sebastian Thrun

Papers from Daniel Tanneberg's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Reinforcement Learning: An Introduction
  7. Learning Multiple Layers of Features from Tiny Images
  8. A Agent Environment StatesActions Rewards Critic B Agent Internal Environment Rewards Critic External Environment Sensations StatesDecisions Actions " Organism " Figure 1
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers