Miroslav Kubat

Statistical Learning Theory · 1993–2017

A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 82 researchers here, as inferred from the citation graph.

Subfields

Whom Miroslav Kubat trusts overall

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

  1. J. Ross Quinlan
  2. Teuvo Kohonen
  3. Nick Littlestone
  4. Thomas G. Dietterich
  5. Thomas M. Cover
  6. Gerhard Widmer
  7. Ryszard S. Michalski
  8. Yoav Freund
  9. Robert E. Schapire
  10. Peter Clark

Who trusts Miroslav Kubat overall

  1. Wil van der Aalst
  2. Mohammad Mustafa Taye
  3. Weiwei Jiang
  4. Alexander V. Shapeev
  5. Susan Athey
  6. Tomas Pranckevičius
  7. Duri Long
  8. Suining He
  9. João Gama
  10. Indrė Žliobaitė

Papers from Miroslav Kubat's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. The Nature of Statistical Learning Theory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers