Ryan D. Turner

Artificial Intelligence · 2010–2021

A researcher in the Science corpus: 7 papers; trusts 131 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan D. Turner trusts overall

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

  1. Pascal Massart
  2. Diederik P. Kingma
  3. Bernhard Schölkopf
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Gary B. Huang
  8. Michael I. Jordan
  9. Peter I. Frazier
  10. Yann LeCun

Who trusts Ryan D. Turner overall

  1. Ruth C. Fong
  2. Sahil Verma
  3. Thibault Laugel
  4. Michael Arbel
  5. Shuhei Watanabe
  6. Akinori Tanaka
  7. Davinder Kaur
  8. Riccardo Guidotti
  9. Andrea Vedaldi
  10. Marc Peter Deisenroth

Papers from Ryan D. Turner's perspective

Ordered by how strongly the researchers Ryan D. Turner 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers