Kelly P. Stanton

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kelly P. Stanton trusts overall

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

  1. Yoshua Bengio
  2. Kaiming He
  3. Ronald R. Coifman
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Ross B. Girshick
  9. Xavier Glorot
  10. Pascal Vincent

Who trusts Kelly P. Stanton overall

  1. Yifan Wu
  2. Filippo Maria Bianchi

Papers from Kelly P. Stanton's perspective

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

Their papers