S. Kuhr

2002

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom S. Kuhr trusts overall

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

  1. Gregory K. Wallace
  2. D. Massey

Who trusts S. Kuhr overall

  1. Uffe Haagerup
  2. Robert L. Benedetto
  3. Vasile Berinde

Papers from S. Kuhr's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. Gradient-based learning applied to document recognition
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Reinforcement Learning: An Introduction

Their papers