Vitaly Nikolaev
Artificial Intelligence · 2017–2025
A researcher in the Science corpus: 11 papers; trusts 75 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 332 citations into it; #32,895 of 35,345 by trust here, #3,652 by citations
- Natural Language Processing — 328 citations into it; #4,865 of 5,688 by trust here, #919 by citations
- Evaluation & Benchmarks — 167 citations into it; #2,889 of 3,147 by trust here, #599 by citations
- Computer Vision and Pattern Recognition — 106 citations into it
- Information Systems — 28 citations into it
- Linguistics — 24 citations into it
- Generative Models — 9 citations into it
Whom Vitaly Nikolaev trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Kyunghyun Cho
- Chin-Yew Lin
- Yann LeCun
- Alex Graves
- Kaiming He
Who trusts Vitaly Nikolaev overall
Papers from Vitaly Nikolaev's perspective
Ordered by how strongly the researchers Vitaly Nikolaev trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages (2020) — 759 citations
- The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics (2021) — 329 citations
- Measuring Attribution in Natural Language Generation Models (2021) — 277 citations
- SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets (2021) — 25 citations
- GEMv2: Multilingual NLG Benchmarking in a Single Line of Code (2022) — 43 citations
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2024) — 3,818 citations
- Planning with Learned Entity Prompts for Abstractive Summarization (2021) — 134 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- TaTa: A Multilingual Table-to-Text Dataset for African Languages (2022) — 14 citations
- SynthBio: A Case Study in Faster Curation of Text Datasets (2021) — 16 citations
- Universal Dependencies 2.1 (2017) — 425 citations