Ute Schmid

2006–2016

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Ute Schmid trusts overall

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

  1. J. Ross Quinlan
  2. J. Urgen Schmidhuber
  3. Dianhuan Lin
  4. Leslie G. Valiant
  5. Alex Alves Freitas
  6. Stephen H. Muggleton

Who trusts Ute Schmid overall

  1. Emanuel Kitzelmann

Papers from Ute Schmid's perspective

Ordered by how strongly the researchers Ute Schmid 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers