Susan B. Davidson

Artificial Intelligence · 2001–2020

A researcher in the Science corpus: 4 papers; trusts 61 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Susan B. Davidson trusts overall

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

  1. L. Eon Bottou
  2. Sanjay Krishnan
  3. Finale Doshi-Velez
  4. Jorge Nocedal
  5. R. Dennis Cook
  6. Yann LeCun
  7. Vladimir G Vovk
  8. Richard H. Byrd
  9. Kaiming He
  10. Joel A. Tropp

Who trusts Susan B. Davidson overall

  1. R. Hull
  2. J. Cheney
  3. Wenfei Fan
  4. Peter Buneman
  5. Hui Miao
  6. Xiaolan Wang
  7. Wesley Willett

Papers from Susan B. Davidson's perspective

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

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