Ceren Budak
Sociology and Political Science · 2011–2020
A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 30 citations into it; #15,964 of 22,756 by trust here, #15,556 by citations
- Communication — 18 citations into it
- Artificial Intelligence — 15 citations into it
- Statistical and Nonlinear Physics — 13 citations into it; #7,502 of 10,127 by trust here, #5,011 by citations
- Computer Science Applications — 8 citations into it
- Information Systems — 6 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Ceren Budak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou
- Matthew Gentzkow
- Matthew Richardson
- Pedro M. Domingos
- David Kempe
- Winter A. Mason
- David M. Blei
- Jacob Goldenberg
- Jesse M. Shapiro
- Shishir Bharathi
Who trusts Ceren Budak overall
- Srijan Kumar
- E. Peterson
- Nir Grinberg
- Karishma Sharma
- Neil Shah
- Sharad Goel
- Xinran He
- S. van der Linden
- Kenneth Joseph
- Feng Qian
Papers from Ceren Budak's perspective
Ordered by how strongly the researchers Ceren Budak trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Fair and Balanced? Quantifying Media Bias through Crowdsourced Content Analysis (2016) — 327 citations
- Limiting the spread of misinformation in social networks (2011) — 895 citations
- A first look at COVID-19 information and misinformation sharing on Twitter (2020) — 317 citations
- Quick, Community-Specific Learning: How Distinctive Toxicity Norms Are Maintained in Political Subreddits (2020) — 97 citations