David Danks

Artificial Intelligence · 2003–2017

A researcher in the Science corpus: 9 papers; trusts 13 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom David Danks trusts overall

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

  1. Richard S. Sutton
  2. Patricia W. Cheng
  3. Tom L. Burr
  4. Mark Voortman
  5. Helmut Ltkepohl
  6. David Maxwell Chickering
  7. Selva Demiralp
  8. Andrew Barto
  9. Denver Dash
  10. Sergey M. Plis

Who trusts David Danks overall

  1. Kun Zhang
  2. H. Baayen
  3. Michael Ramscar
  4. Sergey M. Plis
  5. Mingming Gong
  6. Harald Baayen
  7. Clark Glymour
  8. Kimberley Mulder
  9. R. Harald Baayen
  10. Harini Suresh

Papers from David Danks's perspective

Ordered by how strongly the researchers David Danks 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. Causation, Prediction, and Search
  5. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Causality : Models , Reasoning , and Inference
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers