Gherman Novakovsky

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gherman Novakovsky trusts overall

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

  1. Mukund Sundararajan
  2. Scott M. Lundberg
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Daniel Quang
  6. Avanti Shrikumar
  7. Su-In Lee
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Ankur Taly

Papers from Gherman Novakovsky's perspective

Ordered by how strongly the researchers Gherman Novakovsky 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers