Yuri Malitsky

Artificial Intelligence · 2010–2014

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Yuri Malitsky trusts overall

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

  1. Lin Xu
  2. Pavel Berkhin
  3. Frank Hutter
  4. Kevin Leyton-Brown
  5. Holger H. Hoos
  6. Greg Hamerly
  7. Justin A. Boyan
  8. David Hilton Wolpert
  9. Michail G. Lagoudakis
  10. Horst Samulowitz

Who trusts Yuri Malitsky overall

  1. Lars Kotthoff
  2. Holger H. Hoos
  3. Frank Hutter
  4. Lin Xu
  5. Changwu Huang
  6. Katharina Eggensperger
  7. Pascal Kerschke
  8. Matheus Guedes Vilas Boas
  9. Marius Thomas Lindauer
  10. André Biedenkapp

Papers from Yuri Malitsky's perspective

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

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

Their papers