Moritz Tenorth

Artificial Intelligence · 2009–2013

A researcher in the Science corpus: 5 papers; trusts 31 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Moritz Tenorth trusts overall

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

  1. Daniel Klein
  2. Michael Beetz
  3. D. Lenat
  4. John McCarthy
  5. Dekang Lin
  6. Radu Bogdan Rusu
  7. Cynthia Matuszek
  8. Christopher D. Manning
  9. Volker Haarslev
  10. Robert A. Kowalski

Who trusts Moritz Tenorth overall

  1. Michael Beetz
  2. Angela Yao
  3. Juergen Gall
  4. F. Ingrand
  5. Lars Kunze
  6. Malik Ghallab
  7. Luc De Raedt
  8. Séverin Lemaignan
  9. Fei Han
  10. Ozan Sener

Papers from Moritz Tenorth's perspective

Ordered by how strongly the researchers Moritz Tenorth 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers