Oleksandr Skurzhanskyi

Natural Language Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Oleksandr Skurzhanskyi trusts overall

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

  1. Daniel Dahlmeier
  2. Rico Sennrich
  3. Hwee Tou Ng

Who trusts Oleksandr Skurzhanskyi overall

  1. Tao Ge

Papers from Oleksandr Skurzhanskyi's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Language Models are Unsupervised Multitask Learners
  4. Neural Machine Translation of Rare Words with Subword Units
  5. Long Short-Term Memory
  6. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. ImageNet classification with deep convolutional neural networks

Their papers