Evelina Bakhturina

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Evelina Bakhturina trusts overall

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

  1. Paul Taylor
  2. Rafael Valle
  3. C. Cieri
  4. Vassil Panayotov
  5. Mingjian Chen
  6. Jason Li
  7. Wei Ping
  8. Samuel Kriman
  9. Oleksii Kuchaiev
  10. Stanislav Beliaev

Who trusts Evelina Bakhturina overall

  1. James Betker
  2. Heeseung Kim
  3. Hyeong-Seok Choi
  4. Hubert Siuzdak
  5. Jean-Marc Valin
  6. Sungwon Kim
  7. Jinhyeok Yang
  8. Jan Büthe
  9. Piotr Dura

Papers from Evelina Bakhturina's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers