Ulrich Finkler

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ulrich Finkler trusts overall

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

  1. Yang You
  2. Alex Krizhevsky
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. X. Zhang
  6. Ross B. Girshick

Papers from Ulrich Finkler's perspective

Ordered by how strongly the researchers Ulrich Finkler 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers