Yaroslav Sokolov

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Natural Language Processing — 23 citations into it
• Evaluation & Benchmarks — 19 citations into it

Whom Yaroslav Sokolov trusts overall

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

1. Pengcheng Yin
2. Maja Popovic

Papers from Yaroslav Sokolov's perspective

Ordered by how strongly the researchers Yaroslav Sokolov 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. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers

• Out of the BLEU: how should we assess quality of the Code Generation models? (2022) — 177 citations