Martin Slawski

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 3 papers; trusts 42 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Martin Slawski trusts overall

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

  1. Sara A. van de Geer
  2. Tong Zhang
  3. Nicolai Meinshausen
  4. Hui Zou
  5. Joel A. Tropp
  6. E.J. Candes
  7. David L. Donoho
  8. Robert Tibshirani
  9. Roman Vershynin
  10. Peter Buhlmann

Who trusts Martin Slawski overall

  1. Nicolai Meinshausen
  2. Adityanand Guntuboyina

Papers from Martin Slawski's perspective

Ordered by how strongly the researchers Martin Slawski 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Regression Shrinkage and Selection via the Lasso
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers