Z. Kudyshev

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Z. Kudyshev trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Kaiming He
  4. Sepp Hochreiter
  5. Vinod Nair
  6. Alex Krizhevsky
  7. Christian Szegedy

Papers from Z. Kudyshev's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Going deeper with convolutions
  5. Rectified Linear Units Improve Restricted Boltzmann Machines
  6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers