Richard Nock
Richard Nock publishes mostly in Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition, on topics such as Machine Learning and Algorithms, Statistical Mechanics and Entropy and Adversarial Robustness in Machine Learning.
- World rank
- #546,268 of 1,633,909 ranked researchers
- Rank in Japan
- #21,357 of 114,622
- Works
- 73
- Citations
- 300
- Citations per work
- 4.1
What does Richard Nock research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence42% of their works
- 2Statistics and Probability11% of their works
- 3Computer Vision and Pattern Recognition10% of their works
- 4Statistical and Nonlinear Physics8% of their works
- 5Information Systems3% of their works
- 6Computer Networks and Communications3% of their works
Research topics
- Machine Learning and Algorithms
- Statistical Mechanics and Entropy
- Adversarial Robustness in Machine Learning
- Bayesian Methods and Mixture Models
- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
- Advanced Image and Video Retrieval Techniques
- Advanced Statistical Methods and Models
Which keywords describe Richard Nock's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Semi-Supervised Learning, Meta-Learning, Active Learning, Gaussian Processes, Long-Range Interactions and Nonextensive Statistical Mechanics.
- Transfer Learning
- Multicollinearity
- Feature Matching
- Noisy Labels
- Hyperparameter Optimization
- Robustness
- Nonextensive Statistical Mechanics
- Gaussian Processes
- Meta-Learning
- Machine Learning
- Deep Learning
- Semi-Supervised Learning
- Active Learning
- Long-Range Interactions
- Adversarial Examples
- Clustering
- Mixture Models
- Domain Adaptation
- Local Descriptors
- Regression Analysis
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 20 words, with their numbers
- Deep Learning173 topics
- Machine Learning132 topics
- Semi-Supervised Learning112 topics
- Meta-Learning92 topics
- Active Learning71 topic
- Gaussian Processes71 topic
- Long-Range Interactions71 topic
- Nonextensive Statistical Mechanics71 topic
- Adversarial Examples61 topic
- Robustness61 topic
- Clustering51 topic
- Hyperparameter Optimization51 topic
- Mixture Models51 topic
- Noisy Labels51 topic
- Domain Adaptation41 topic
- Feature Matching41 topic
- Local Descriptors41 topic
- Multicollinearity41 topic
- Regression Analysis41 topic
- Transfer Learning41 topic
Where does Richard Nock work?
Richard Nock's main affiliation in the publication record is Sony Computer Science Laboratories, Japan.
How many publications and citations does Richard Nock have?
Science Explorer counts 73 works and 300 citations for Richard Nock, ranking #546,268 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.