Carson Sievert

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Carson Sievert trusts overall

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

  1. Jason Chuang
  2. T. Griffiths
  3. David M. Blei
  4. Michael Bostock
  5. Christopher D. Manning
  6. Jeffrey Heer
  7. David Mimno
  8. Michael I. Jordan
  9. Andrew Y. Ng
  10. Mark Steyvers

Who trusts Carson Sievert overall

  1. Shaheen Syed
  2. Jia Liu
  3. Judith Möller
  4. Timothy R. Hannigan
  5. D. D’Amato
  6. Marco René Spruit
  7. Olivier Toubia
  8. Daniel Maier
  9. Damian Trilling
  10. Nadav Oved

Papers from Carson Sievert's perspective

Ordered by how strongly the researchers Carson Sievert 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers