Margaret E. Roberts
Artificial Intelligence · 2013–2021
A researcher in the Science corpus: 12 papers; trusts 131 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 233 citations into it; #11,188 of 35,345 by trust here, #15,542 by citations
- Natural Language Processing — 105 citations into it; #4,534 of 5,688 by trust here, #4,793 by citations
- Statistics and Probability — 70 citations into it
- Safety, Robustness & Interpretability — 60 citations into it
- Sociology and Political Science — 55 citations into it; #8,725 of 22,756 by trust here, #9,515 by citations
- Information Systems — 43 citations into it
- Causal Inference & Discovery — 41 citations into it; #282 of 364 by trust here, #249 by citations
- General Social Sciences — 38 citations into it; #43 of 274 by trust here, #25 by citations
Whom Margaret E. Roberts trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Justin Grimmer
- David M. Blei
- Jacob Eisenstein
- Kurt Hornik
- Brandon M Stewart
- Jerome H. Friedman
- Gary King
- Geoffrey E. Hinton
- Michael I. Jordan
- Radford M. Neal
Who trusts Margaret E. Roberts overall
- In Song Kim
- Brandon M Stewart
- Zachary C. Steinert-Threlkeld
- Katherine A. Keith
- Arturas Rozenas
- Lambda Moses
- Moran Yarchi
- Amir Feder
- Naoki Egami
- Dustin Tingley
Papers from Margaret E. Roberts's perspective
Ordered by how strongly the researchers Margaret E. Roberts 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond (2021) — 330 citations
- A Model of Text for Experimentation in the Social Sciences (2016) — 658 citations
- How to make causal inferences using texts (2018) — 185 citations
- Adjusting for Confounding with Text Matching (2020) — 120 citations
- Censorship of Online Encyclopedias: Implications for NLP Models (2021) — 22 citations
- Machine behaviour (2019) — 1,247 citations
- stm: An R Package for Structural Topic Models (2019) — 1,632 citations
- Computer‐Assisted Keyword and Document Set Discovery from Unstructured Text (2017) — 208 citations
- How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument (2017)
- Computer-Assisted Text Analysis for Comparative Politics (2015) — 468 citations
- Structural Topic Models for Open‐Ended Survey Responses (2014) — 1,756 citations
- How Censorship in China Allows Government Criticism but Silences Collective Expression (2013) — 1,879 citations