Miriam Redi
Artificial Intelligence · 2016–2021
A researcher in the Science corpus: 7 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it
- Natural Language Processing — 30 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Communication — 18 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Sociology and Political Science — 14 citations into it
- Cognitive Neuroscience — 6 citations into it
Whom Miriam Redi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard Socher
- Tomas Mikolov
- Yoshua Bengio
- Jeffrey Pennington
- Geoffrey E. Hinton
- Maya Tamir
- Diederik P. Kingma
- Kyunghyun Cho
- Ilya Sutskever
- Christopher D. Manning
Who trusts Miriam Redi overall
Papers from Miriam Redi's perspective
Ordered by how strongly the researchers Miriam Redi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability (2019) — 53 citations
- On the Value of Wikipedia as a Gateway to the Web (2021) — 26 citations
- A Taxonomy of Knowledge Gaps for Wikimedia Projects (First Draft) (2020) — 15 citations
- Citation Detective : a Public Dataset to Improve and Quantify Wikipedia Citation Quality at Scale (2020)
- Quantifying Engagement with Citations on Wikipedia (2020) — 49 citations
- Predicting Pre-click Quality for Native Advertisements (2016) — 35 citations
- Multilingual Visual Sentiment Concept Matching (2016) — 15 citations