Alex Aliper

Computer Vision and Pattern Recognition · 2016–2023

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alex Aliper trusts overall

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

  1. Geoffrey E. Hinton
  2. Radford M. Neal
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Individualized Treat
  6. Ian J. Goodfellow
  7. Ilya Sutskever
  8. George E. Dahl
  9. Ruslan Salakhutdinov
  10. Yann LeCun

Who trusts Alex Aliper overall

  1. Mariya Popova

Papers from Alex Aliper's perspective

Ordered by how strongly the researchers Alex Aliper 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. GENERATIVE ADVERSARIAL NETS
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  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