Daniela Pfeiffer

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniela Pfeiffer trusts overall

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

  1. Alex Krizhevsky

Papers from Daniela Pfeiffer's perspective

Ordered by how strongly the researchers Daniela Pfeiffer 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Understanding the difficulty of training deep feedforward neural networks
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers