Alexey Ignatiev

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 10 papers; trusts 128 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Alexey Ignatiev trusts overall

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

  1. Nina Narodytska
  2. Cynthia Rudin
  3. Marco Tulio Ribeiro
  4. Andy Shih
  5. Joao Marques-Silva
  6. Niklas Eén
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Himabindu Lakkaraju
  10. Gilles Audemard

Who trusts Alexey Ignatiev overall

  1. Jinqiang Yu
  2. Nina Narodytska
  3. Joao Marques-Silva
  4. Peter James Stuckey
  5. Mikoláš Janota
  6. Pierre Le Bodic
  7. Hao Hu
  8. Yacine Izza
  9. Emir Demirovi'c
  10. Emilio Carrizosa

Papers from Alexey Ignatiev's perspective

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

Their papers