Tom Goldstein
Tom Goldstein publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Adversarial Robustness in Machine Learning, Domain Adaptation and Few-Shot Learning and Anomaly Detection Techniques and Applications.
- World rank
- #3,987 of 1,633,909 ranked researchers
- Rank in United States
- #1,874 of 358,040
- Works
- 113
- Citations
- 1.8k
- Citations per work
- 15.8
What does Tom Goldstein research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence48% of their works
- 2Computer Vision and Pattern Recognition10% of their works
- 3Electrical and Electronic Engineering8% of their works
- 4Law4% of their works
- 5Computer Networks and Communications4% of their works
- 6Signal Processing4% of their works
Research topics
- Adversarial Robustness in Machine Learning
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Advanced Neural Network Applications
- Machine Learning and Data Classification
- Advanced Malware Detection Techniques
- Machine Learning and Algorithms
- Advanced MIMO Systems Optimization
Which keywords describe Tom Goldstein's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Neural Networks, Adversarial Examples, Robustness, Meta-Learning, Semi-Supervised Learning and Domain Adaptation.
- Massive MIMO
- Cellular Networks
- Noisy Labels
- Detection
- Image Recognition
- Unsupervised
- Image Classification
- Domain Adaptation
- Meta-Learning
- Adversarial Examples
- Machine Learning
- Deep Learning
- Neural Networks
- Robustness
- Semi-Supervised Learning
- Transfer Learning
- Anomaly Detection
- Convolutional Neural Networks
- Android Malware
- Hyperparameter Optimization
- Active Learning
- Gaussian Processes
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 22 words, with their numbers
- Deep Learning415 topics
- Machine Learning273 topics
- Neural Networks262 topics
- Adversarial Examples181 topic
- Robustness181 topic
- Meta-Learning162 topics
- Semi-Supervised Learning152 topics
- Domain Adaptation111 topic
- Transfer Learning111 topic
- Image Classification102 topics
- Anomaly Detection81 topic
- Unsupervised81 topic
- Convolutional Neural Networks61 topic
- Image Recognition61 topic
- Android Malware51 topic
- Detection51 topic
- Hyperparameter Optimization51 topic
- Noisy Labels51 topic
- Active Learning41 topic
- Cellular Networks41 topic
- Gaussian Processes41 topic
- Massive MIMO41 topic
Where does Tom Goldstein work?
Tom Goldstein's main affiliation in the publication record is University of Maryland, College Park, United States.
How many publications and citations does Tom Goldstein have?
Science Explorer counts 113 works and 1,785 citations for Tom Goldstein, ranking #3,987 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.