Markus Weimer

Artificial Intelligence · 2007–2019

A researcher in the Science corpus: 9 papers; trusts 23 researchers and is trusted by 96 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Weimer trusts overall

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

  1. Nati Srebro
  2. Jason D. M. Rennie
  3. Thomas Hofmann
  4. Thorsten Joachims
  5. Wei Chu
  6. Ruslan Salakhutdinov
  7. Tommi S. Jaakkola
  8. Zoubin Ghahramani
  9. Justin Basilico
  10. Geoffrey E. Hinton

Who trusts Markus Weimer overall

  1. Harald Steck
  2. Yue Shi
  3. Shuiwang Ji
  4. Steffen Rendle
  5. Alexandros Karatzoglou
  6. Weike Pan
  7. Jieping Ye
  8. Ting Kei Pong
  9. Jakub Konecný
  10. Martin Jaggi

Papers from Markus Weimer's perspective

Ordered by how strongly the researchers Markus Weimer 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers