V. Dmitry

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom V. Dmitry trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Max Welling
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. George Eastman House
  8. Nitish Srivastava
  9. Jimmy Ba

Papers from V. Dmitry's perspective

Ordered by how strongly the researchers V. Dmitry trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers