Timothy D. Solberg

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Timothy D. Solberg trusts overall

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

  1. Jerome H. Friedman
  2. R. Caruana
  3. Alex Krizhevsky
  4. David G. Lowe
  5. Geoffrey E. Hinton

Who trusts Timothy D. Solberg overall

  1. Arvid Lundervold

Papers from Timothy D. Solberg's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Mastering the game of Go with deep neural networks and tree search
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Deep Convolutional Inverse Graphics Network
  9. Gradient-based learning applied to document recognition
  10. Special Invited Paper-Additive logistic regression: A statistical view of boosting

Their papers