Vladimir Braverman

Artificial Intelligence · with Feldman · 2016–2020

A researcher in the Science corpus: 6 papers; trusts 203 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Vladimir Braverman trusts overall

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

  1. Alex Krizhevsky
  2. Jeffrey Scott Vitter
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Karen Simonyan
  6. Kaiming He
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Vladimir Naumovich Vapnik
  10. Kenneth L. Clarkson

Who trusts Vladimir Braverman overall

  1. Marwa El Halabi
  2. Junfeng Wen

Papers from Vladimir Braverman's perspective

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

Their papers