Daniel R. Schrider

Artificial Intelligence · 2011–2018

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel R. Schrider trusts overall

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

  1. Michael G. B. Blum
  2. Fabrizio Sebastiani
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. J. Bronstein
  6. Yali Amit
  7. S. Aeschbacher
  8. Yann LeCun
  9. Rasmus Nielsen
  10. MARK A. Beaumont

Who trusts Daniel R. Schrider overall

  1. Gideon S. Bradburd
  2. Peter L. Ralph

Papers from Daniel R. Schrider's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers