Viktor Zhumatiy

Reinforcement Learning · 2003–2006

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Viktor Zhumatiy trusts overall

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

  1. J. Urgen Schmidhuber
  2. Richard S. Sutton
  3. Leslie Pack Kaelbling
  4. Andrew Y. Ng
  5. Ben J. A. Kröse
  6. Andrew McCallum
  7. Andrew W. Moore
  8. Sepp Hochreiter
  9. Longxin Lin
  10. Andrew Barto

Who trusts Viktor Zhumatiy overall

  1. J. Urgen Schmidhuber
  2. Sergey Levine
  3. Aditya Rawal
  4. Hiroki Utsunomiya
  5. Bram Bakker
  6. Scott Niekum
  7. Junhyuk Oh

Papers from Viktor Zhumatiy's perspective

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

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

Their papers