Viggo Kann

Theoretical Computer Science · 1998–2000

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Viggo Kann trusts overall

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

  1. Sanjeev Arora

Who trusts Viggo Kann overall

  1. Alper Ünler
  2. Yao Liu
  3. Wei Guan
  4. Jason Aaron Edward Weston
  5. Vitaly Feldman
  6. Venkatesan Guruswami
  7. Zheng Zhang
  8. Andre´ Elisseeff
  9. Bernhard Schölkopf
  10. Alper Ekrem Murat

Papers from Viggo Kann's perspective

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

  1. A threshold of ln n for approximating set cover (preliminary version)
  2. A theory of the learnable
  3. Proof verification and hardness of approximation problems
  4. Robust linear programming discrimination of two linearly inseparable sets
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers