Daniel Lowd
Daniel Lowd publishes mostly in Artificial Intelligence, Computer Networks and Communications and Information Systems, on topics such as Bayesian Modeling and Causal Inference, Topic Modeling and Adversarial Robustness in Machine Learning.
- World rank
- #126,327 of 1,633,909 ranked researchers
- Rank in United States
- #54,034 of 358,040
- Works
- 22
- Citations
- 504
- Citations per work
- 22.9
What does Daniel Lowd research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence79% of their works
- 2Computer Networks and Communications8% of their works
- 3Information Systems5% of their works
- 4Computer Vision and Pattern Recognition3% of their works
- 5Social Psychology3% of their works
- 6Signal Processing3% of their works
Research topics
Which keywords describe Daniel Lowd's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Machine Learning, Bayesian Networks, Causal Inference, Adversarial Examples, Hyperparameter Optimization and Machine Translation.
- Backpropagation Learning
- Answer Set Programming
- Semi-Supervised Learning
- Active Learning
- Robustness
- Machine Translation
- Adversarial Examples
- Bayesian Networks
- Deep Learning
- Neural Networks
- Machine Learning
- Causal Inference
- Hyperparameter Optimization
- Noisy Labels
- Word Representation
- Neural Machine Translation
- Statistical Machine Translation
- Modal Logic
- Self-Organizing Maps
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 19 words, with their numbers
- Neural Networks93 topics
- Deep Learning83 topics
- Machine Learning72 topics
- Bayesian Networks61 topic
- Causal Inference61 topic
- Adversarial Examples41 topic
- Hyperparameter Optimization41 topic
- Machine Translation41 topic
- Noisy Labels41 topic
- Robustness41 topic
- Word Representation41 topic
- Active Learning31 topic
- Neural Machine Translation31 topic
- Semi-Supervised Learning31 topic
- Statistical Machine Translation31 topic
- Answer Set Programming21 topic
- Modal Logic21 topic
- Backpropagation Learning11 topic
- Self-Organizing Maps11 topic
Where does Daniel Lowd work?
Daniel Lowd's main affiliation in the publication record is University of Oregon, United States.
How many publications and citations does Daniel Lowd have?
Science Explorer counts 22 works and 504 citations for Daniel Lowd, ranking #126,327 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.