Olesia Makhnytkina

2021

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

Whom Olesia Makhnytkina trusts overall

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

  1. Paul Ekman
  2. Jason Wei
  3. Jacob Devlin

Papers from Olesia Makhnytkina's perspective

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

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

Their papers