Mathias Kraus

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 53 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Mathias Kraus trusts overall

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

  1. Geoffrey E. Hinton
  2. Robert P. Schumaker
  3. Yann LeCun
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Yoav Goldberg
  7. Charu C. Aggarwal
  8. L. Takeuchi
  9. Tomas Mikolov
  10. Julian J. Faraway

Who trusts Mathias Kraus overall

  1. Longbing Cao
  2. Dogu Araci
  3. A. Ozbayoglu
  4. M. Ugur Gudelek
  5. Omer Berat Sezer
  6. A. Taha

Papers from Mathias Kraus's perspective

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

Their papers