Ivan Provilkov

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ivan Provilkov trusts overall

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

  1. Matt Post
  2. Rico Sennrich
  3. Geoffrey E. Hinton
  4. Mike Schuster
  5. Mathias Creutz
  6. Rohan Chitnis
  7. Eric Brill
  8. Anoop Kunchukuttan
  9. Pushpak Bhattacharyya
  10. Tamali Banerjee

Who trusts Ivan Provilkov overall

  1. Yupei Liu
  2. Jingjing Xu
  3. Mo Bavarian
  4. Aditya Ramesh
  5. Yi Tay
  6. Neel Jain
  7. Ivan Medennikov
  8. Hao Zhou
  9. Yuqi Jia
  10. Heewoo Jun

Papers from Ivan Provilkov's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Gradient-based learning applied to document recognition
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers