Daniil Sorokin

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 66 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Daniil Sorokin trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Sepp Hochreiter
  4. Christopher D. Manning
  5. Jimmy Ba
  6. Jeffrey Pennington
  7. Yoshua Bengio
  8. J. Urgen Schmidhuber
  9. Alex Krizhevsky
  10. Richard Socher

Who trusts Daniil Sorokin overall

  1. Guanghui Qin
  2. Ben Goodrich
  3. Taylor Shin
  4. Haoyu Wang
  5. Yuan Yao
  6. Jason Eisner
  7. Deming Ye
  8. Timothy Niven
  9. James Thorne
  10. Zhenghao Liu

Papers from Daniil Sorokin's perspective

Ordered by how strongly the researchers Daniil Sorokin 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. Long Short-Term Memory
  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. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers