Konstantin Makarychev

Artificial Intelligence · 2013–2018

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Konstantin Makarychev trusts overall

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

  1. Holger Schwenk
  2. Anil K. Jain
  3. Omiros Papaspiliopoulos
  4. M. Sion
  5. Yoshua Bengio
  6. Tomas Mikolov
  7. Joshua Goodman
  8. Stanley F. Chen
  9. Geoffrey E. Hinton
  10. Herv'e J'egou

Who trusts Konstantin Makarychev overall

  1. Xingxing Zhang
  2. Arturs Backurs
  3. Martin Sundermeyer
  4. Michael Auli
  5. Mirella Lapata
  6. Piotr Indyk

Papers from Konstantin Makarychev's perspective

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

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

Their papers