Thilo Hagendorff

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Thilo Hagendorff trusts overall

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

  1. James Kalbach
  2. John C. Duchi
  3. Brent Daniel Mittelstadt
  4. Sandra C. Matz
  5. Michael D. Ekstrand
  6. Michal Kosinski
  7. Nick Bostrom
  8. Ryan Calo
  9. Michael I. Jordan
  10. Peter Eckersley

Who trusts Thilo Hagendorff overall

  1. Luke Munn
  2. Jessica Morley
  3. Justin D. Weisz
  4. Luciano Floridi
  5. Anastasia Chan
  6. Brent Daniel Mittelstadt
  7. Jessica He
  8. Daniel S. Schiff
  9. Libby Kinsey
  10. Scott Thiebes

Papers from Thilo Hagendorff's perspective

Ordered by how strongly the researchers Thilo Hagendorff 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers