Svitlana Volkova
Artificial Intelligence · 2013–2017
A researcher in the Science corpus: 4 papers; trusts 49 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 55 citations into it; #10,013 of 35,345 by trust here, #9,275 by citations
- Natural Language Processing — 27 citations into it; #3,677 of 5,688 by trust here, #3,332 by citations
- Sociology and Political Science — 19 citations into it; #6,990 of 22,756 by trust here, #4,445 by citations
- Information Systems — 16 citations into it
- Evaluation & Benchmarks — 10 citations into it
- Social Psychology — 9 citations into it
- Human-Computer Interaction — 6 citations into it; #774 of 2,253 by trust here, #737 by citations
- Signal Processing — 6 citations into it
Whom Svitlana Volkova trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Peter D. Turney
- George A. Miller
- R. Macaulay
- Jeffrey Pennington
- Radford M. Neal
- Delip Rao
- Geoffrey E. Hinton
- Tomas Mikolov
- Richard Socher
Who trusts Svitlana Volkova overall
- Dirk Hovy
- Sophia Chan
- Dong Nguyen
- Alessandro Bondielli
- Kashyap Popat
- Xiaolei Huang
- Zach Wood-Doughty
- Maarten Sap
- Daniel Preotiuc-Pietro
- Alona Fyshe
Papers from Svitlana Volkova's perspective
Ordered by how strongly the researchers Svitlana Volkova trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking (2017) — 920 citations
- Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media (2013) — 180 citations
- Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter (2017) — 322 citations
- Studying User Income through Language, Behaviour and Affect in Social Media (2015) — 216 citations