Daniel F. Schmidt

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel F. Schmidt trusts overall

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

  1. François Chollet
  2. Hassan Ismail Fawaz
  3. Anthony J. Bagnall
  4. Ali Rahimi
  5. Andrew Lavin
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Geoffrey E. Hinton
  9. Hessam Bagherinezhad
  10. Siu Kwan Lam

Who trusts Daniel F. Schmidt overall

  1. George Zerveas

Papers from Daniel F. Schmidt's perspective

Ordered by how strongly the researchers Daniel F. Schmidt 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. Going deeper with convolutions
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers