Karl Stelzner

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Karl Stelzner trusts overall

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

  1. Adnan Darwiche
  2. Geoffrey E. Hinton
  3. John Schulman
  4. Ruslan Salakhutdinov
  5. Brenden M. Lake
  6. Benigno Uria
  7. Diederik P. Kingma
  8. Nicolas Manfred Otto Heess
  9. Yoshua Bengio
  10. Wei-Chen Cheng

Who trusts Karl Stelzner overall

  1. Hao Wang
  2. Dit-Yan Yeung
  3. Aleksandar Stani'c

Papers from Karl Stelzner's perspective

Ordered by how strongly the researchers Karl Stelzner trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. GENERATIVE ADVERSARIAL NETS

Their papers