Konstantin Mishchenko

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 11 papers; trusts 195 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

Whom Konstantin Mishchenko trusts overall

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

  1. Yurii E. Nesterov
  2. Peter Richtárik
  3. Chih-Jen Lin
  4. Aaron Defazio
  5. Alex Krizhevsky
  6. Tong Zhang
  7. Francis R. Bach
  8. Geoffrey E. Hinton
  9. Martin Takác
  10. Rie Johnson

Who trusts Konstantin Mishchenko overall

  1. Ahmed Khaled
  2. Peter Richtárik
  3. Filip Hanzely
  4. Samuel Horváth
  5. Dmitry Kovalev
  6. Nicolas Loizou
  7. Sebastian U. Stich
  8. Blake E. Woodworth
  9. S. Chraibi
  10. Sai Praneeth Karimireddy

Papers from Konstantin Mishchenko's perspective

Ordered by how strongly the researchers Konstantin Mishchenko 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers