Stanislav Peshterliev

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 75 citations into it
• Information Retrieval & Search — 45 citations into it
• Natural Language Processing — 38 citations into it
• Evaluation & Benchmarks — 24 citations into it
• Large Language Models — 11 citations into it
• Information Systems — 10 citations into it
• Efficiency & Compression — 7 citations into it

Whom Stanislav Peshterliev trusts overall

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

1. Diederik P. Kingma
2. Jacob Devlin
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Pranav Rajpurkar
6. Omar Khattab
7. Yoshua Bengio
8. Alex Krizhevsky
9. Ilya Sutskever
10. Ming-Wei Chang

Papers from Stanislav Peshterliev's perspective

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

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

Their papers

• UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering (2020) — 106 citations
• Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? (2021) — 87 citations
• Decoupled Transformer for Scalable Inference in Open-domain Question Answering (2021)