Jacob Kelly

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob Kelly trusts overall

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

  1. Ernst Hairer
  2. Lawrence F. Shampine
  3. Yulia Rubanova
  4. T. Chen
  5. Lars Ruthotto
  6. George Papamakarios
  7. David Kristjanson Duvenaud
  8. Gerhard Wanner
  9. Eldad Haber
  10. Xuechen Li

Who trusts Jacob Kelly overall

  1. Shian Du
  2. Benjamin Paul Chamberlain

Papers from Jacob Kelly's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Learning Multiple Layers of Features from Tiny Images
  4. ImageNet classification with deep convolutional neural networks
  5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers