Daniel Cownden

Cognitive Neuroscience · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Cownden trusts overall

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

  1. Ronald J. Williams
  2. Geoffrey E. Hinton
  3. Volodymyr Mnih
  4. Randall C. O’Reilly
  5. David E. Rumelhart
  6. H. Sebastian Seung
  7. Xiaohui Xie
  8. Robert Urbanczik
  9. Yoshua Bengio
  10. Alexandre Pouget

Who trusts Daniel Cownden overall

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Hesham Mostafa
  4. Friedemann Zenke
  5. Tsendsuren Munkhdalai
  6. Emre O. Neftci
  7. James C. R. Whittington
  8. Timothy P. Lillicrap
  9. Jordan Guerguiev
  10. Sindy Löwe

Papers from Daniel Cownden's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. A Fast Learning Algorithm for Deep Belief Nets
  7. Attention is All you Need (Neural Information Processing Systems)
  8. This PDF file includes: Materials and Methods
  9. Learning Multiple Layers of Features from Tiny Images
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers