Pavel Golik

Artificial Intelligence · 2013–2016

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Pavel Golik trusts overall

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

  1. Hervé Bourlard
  2. Hynek Hermansky
  3. Urs-Viktor Marti
  4. Nelson Morgan
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Vinod Nair
  8. Xavier Glorot
  9. James Martens
  10. Radford M. Neal

Who trusts Pavel Golik overall

  1. Dimitri Palaz
  2. Albert Zeyer
  3. Xiaolei Ma
  4. Mikel Canizo
  5. Aditya Golatkar
  6. Simon Wiesler
  7. Ralf Schlüter
  8. Hermann Ney
  9. Tara N. Sainath
  10. Shinji Takaki

Papers from Pavel Golik's perspective

Ordered by how strongly the researchers Pavel Golik 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Rectified Linear Units Improve Restricted Boltzmann Machines
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers