Pavel Serdyukov

Artificial Intelligence · 2009–2018

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Pavel Serdyukov trusts overall

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

  1. Tye Rattenbury
  2. Qiaozhu Mei
  3. Guihong Cao
  4. Jörg Tiedemann
  5. Dzmitry Bahdanau
  6. Yoshua Bengio
  7. Rico Sennrich
  8. Geoffrey E. Hinton
  9. Diederik P. Kingma
  10. Mor Naaman

Who trusts Pavel Serdyukov overall

  1. Takeshi Sakaki
  2. Bo Han
  3. Makoto Okazaki
  4. Jaeyoung Choi
  5. Stephen Roller
  6. Yutaka Matsuo
  7. Elena Voita
  8. Paul Cook
  9. Kellie Webster
  10. Dario Stojanovski

Papers from Pavel Serdyukov's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers