Oleg Serikov
Artificial Intelligence · 2022
A researcher in the Science corpus: 4 papers; trusts 63 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 206 citations into it
- Natural Language Processing — 136 citations into it
- Large Language Models — 74 citations into it
- Computer Vision and Pattern Recognition — 51 citations into it
- Evaluation & Benchmarks — 47 citations into it
- Safety, Robustness & Interpretability — 35 citations into it
- Representation & Self-Supervised Learning — 26 citations into it
- General Social Sciences — 8 citations into it
Whom Oleg Serikov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexis Conneau
- Yonatan Belinkov
- Jacob Devlin
- Christopher D. Manning
- Geoffrey E. Hinton
- John Hewitt
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
Papers from Oleg Serikov's perspective
Ordered by how strongly the researchers Oleg Serikov trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Is neural language acquisition similar to natural? A chronological probing study (2022) — 4 citations
- Universal and Independent: Multilingual Probing Framework for Exhaustive Model Interpretation and Evaluation (2022) — 4 citations
- Emergent Structures and Training Dynamics in Large Language Models (2022)
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations