Alexander V. Terekhov

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander V. Terekhov trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Xavier Glorot
  6. Alex Graves
  7. Ilya Sutskever
  8. Ian J. Goodfellow
  9. Ruslan Salakhutdinov
  10. David M. Bradley

Who trusts Alexander V. Terekhov overall

  1. Luca Corinzia
  2. Mohammed Amer
  3. Jun Shu
  4. Jason Ramapuram
  5. Rahaf Aljundi
  6. Andrei A. Rusu
  7. Zihao Mu
  8. Joachim M. Buhmann
  9. Hakan Bilen
  10. Tomás Henrique Maul

Papers from Alexander V. Terekhov's perspective

Ordered by how strongly the researchers Alexander V. Terekhov 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers