William Ellsworth

Artificial Intelligence · 2002–2021

A researcher in the Science corpus: 7 papers; trusts 14 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom William Ellsworth trusts overall

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

  1. Radford M. Neal
  2. Kaiming He
  3. Dichao Hu
  4. Geoffrey E. Hinton
  5. John Townend
  6. D. Schaff
  7. Yoshua Bengio
  8. Sebastian Hainzl
  9. Yarin Gal
  10. Diederik P. Kingma

Who trusts William Ellsworth overall

  1. Tom Parsons
  2. Edward Field
  3. G. Mclaskey
  4. C. Mason
  5. D. Shelly
  6. S. M. Mousavi
  7. Sandy Steacy
  8. Siwei Yu
  9. Zachary E. Ross
  10. Bruno Pace

Papers from William Ellsworth's perspective

Ordered by how strongly the researchers William Ellsworth 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. Long Short-Term Memory
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers