Dana S. Nau

Artificial Intelligence · 1992–2016

A researcher in the Science corpus: 10 papers; trusts 53 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Dana S. Nau trusts overall

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

  1. Jörg Hoffmann
  2. Nils J. Nilsson
  3. Fahiem Bacchus
  4. Blai Bonet
  5. Hector Geffner
  6. Andrew Y. Ng
  7. Martin L. Puterman
  8. David Silver
  9. Sheila A. McIlraith
  10. John McCarthy

Who trusts Dana S. Nau overall

  1. Malik Ghallab
  2. Nan Li
  3. Enda Barrett
  4. Levente Kocsis
  5. John K. Slaney
  6. Fahiem Bacchus
  7. David L. Martin
  8. Karthik Valmeekam
  9. William Cushing
  10. Enda Howley

Papers from Dana S. Nau's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Reinforcement Learning: An Introduction
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers