Alexander Sorin

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Sorin trusts overall

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

  1. Jean-Marc Valin
  2. Mike Schuster
  3. Sepp Hochreiter
  4. Masanori Morise
  5. J. Urgen Schmidhuber
  6. Jonathan Shen
  7. Jan Skoglund
  8. Colin Raffel
  9. Geoffrey E. Hinton
  10. Yoshua Bengio

Who trusts Alexander Sorin overall

  1. Tao Tu
  2. Alexander H. Liu
  3. Slava Shechtman
  4. Adrian La'ncucki

Papers from Alexander Sorin's perspective

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

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers