Lutz Prechelt

Efficiency & Compression · 1996–2002

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 90 researchers here, as inferred from the citation graph.

Subfields

Whom Lutz Prechelt trusts overall

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

  1. Scott E. Fahlman
  2. Martin A. Riedmiller
  3. Anders Krogh
  4. Nelson Morgan
  5. Stuart Geman
  6. Russell Reed
  7. Pierre Baldi
  8. Shun-ichi Amari
  9. Hervé Bourlard
  10. John A. Hertz

Who trusts Lutz Prechelt overall

  1. A. Rahimikhoob
  2. Zhanpeng Zhang
  3. Kai Fukami
  4. Agnieszka Mikołajczyk
  5. Liwei Song
  6. Chun-Kit Yeung
  7. Hossein Abbasimehr
  8. Sungjoo Ha
  9. Shaun M. Kandathil
  10. Weinan Zhang

Papers from Lutz Prechelt's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  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