Aleksandar Makelov

Artificial Intelligence · 2017–2025

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 728 researchers here, as inferred from the citation graph.

Subfields

Whom Aleksandar Makelov trusts overall

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

  1. Kaiming He
  2. Ian J. Goodfellow
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Christian Szegedy
  6. Nicolas Papernot
  7. Nicholas Carlini
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Aleksandar Makelov overall

  1. Nicholas Carlini
  2. Matthias Hein
  3. Francesco Croce
  4. Florian Tramèr
  5. Dan Hendrycks
  6. Maksym Andriushchenko
  7. Tianyu Pang
  8. Cihang Xie
  9. Eric Wong
  10. Logan Engstrom

Papers from Aleksandar Makelov's perspective

Ordered by how strongly the researchers Aleksandar Makelov 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. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers