Sarah M. Loos

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 6 papers; trusts 22 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Sarah M. Loos trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Jimmy Ba
  5. Tim Rocktaschel
  6. Alex Krizhevsky
  7. Geoff Sutcliffe
  8. Richard Socher
  9. Yoshua Bengio
  10. Ilya Sutskever

Who trusts Sarah M. Loos overall

  1. Stanislas Polu
  2. Mingzhe Wang
  3. Jia Deng
  4. Kaiyu Yang
  5. Markus Norman Rabe
  6. Yuhuai Wu
  7. Jesse Michael Han
  8. Ibrahim Abdelaziz
  9. Ilya Sutskever
  10. Wenda Li

Papers from Sarah M. Loos's perspective

Ordered by how strongly the researchers Sarah M. Loos 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  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