Oleg V. Vasilyev
Artificial Intelligence · with Bohannon · 2020–2021
A researcher in the Science corpus: 3 papers; trusts 59 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 58 citations into it
- Natural Language Processing — 55 citations into it; #2,487 of 5,688 by trust here, #4,032 by citations
- Evaluation & Benchmarks — 42 citations into it; #1,316 of 3,147 by trust here, #2,482 by citations
- Computer Vision and Pattern Recognition — 16 citations into it
- Large Language Models — 12 citations into it
Whom Oleg V. Vasilyev trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chin-Yew Lin
- Günes Erkan
- Annie Louis
- Karl Moritz Hermann
- Geoffrey E. Hinton
- Yoshua Bengio
- Ani Nenkova
- Diederik P. Kingma
- Ilya Sutskever
- Richard Socher
Who trusts Oleg V. Vasilyev overall
- Neslihan Iskender
- Rowan Zellers
- Tanya Goyal
- Yuheng Zha
- Saadia Gabriel
- Tim Polzehl
- Ari Holtzman
- Tianyi Zhang
- Elizabeth Clark
- Junyi Jessy Li
Papers from Oleg V. Vasilyev's perspective
Ordered by how strongly the researchers Oleg V. Vasilyev 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)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation (2021) — 22 citations
- Does Summary Evaluation Survive Translation to Other Languages? (2021) — 5 citations
- Fill in the BLANC: Human-free quality estimation of document summaries (2020) — 147 citations