Ludwig Schmidt
Ludwig Schmidt publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Domain Adaptation and Few-Shot Learning, Adversarial Robustness in Machine Learning and Machine Learning and Data Classification.
- World rank
- #229,108 of 1,633,909 ranked researchers
- Rank in United States
- #90,840 of 358,040
- Works
- 21
- Citations
- 383
- Citations per work
- 18.2
What does Ludwig Schmidt research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence50% of their works
- 2Computer Vision and Pattern Recognition15% of their works
- 3Molecular Biology6% of their works
- 4Radiology, Nuclear Medicine and Imaging6% of their works
- 5Computational Mechanics6% of their works
- 6Signal Processing2% of their works
Research topics
- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
- Machine Learning and Data Classification
- Advanced Neural Network Applications
- Sparse and Compressive Sensing Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Algorithms
- COVID-19 diagnosis using AI
Which keywords describe Ludwig Schmidt's research?
The keywords of their largest research topics: Deep Learning, Meta-Learning, Semi-Supervised Learning, Transfer Learning, Domain Adaptation, Few-Shot Learning, Convolutional Neural Networks and Image Classification.
- Unsupervised
- Gaussian Processes
- Anomaly Detection
- Sparse Representation
- Object Detection
- Image Recognition
- Compressed Sensing
- Neural Networks
- Image Classification
- Few-Shot Learning
- Transfer Learning
- Meta-Learning
- Deep Learning
- Semi-Supervised Learning
- Domain Adaptation
- Convolutional Neural Networks
- Machine Learning
- Adversarial Examples
- Hyperparameter Optimization
- Noisy Labels
- Robustness
- Active Learning
- COVID-19
- Medical Imaging
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 24 words, with their numbers
- Deep Learning125 topics
- Meta-Learning102 topics
- Semi-Supervised Learning92 topics
- Transfer Learning92 topics
- Domain Adaptation71 topic
- Few-Shot Learning71 topic
- Convolutional Neural Networks52 topics
- Image Classification52 topics
- Machine Learning52 topics
- Neural Networks52 topics
- Adversarial Examples31 topic
- Compressed Sensing31 topic
- Hyperparameter Optimization31 topic
- Image Recognition31 topic
- Noisy Labels31 topic
- Object Detection31 topic
- Robustness31 topic
- Sparse Representation31 topic
- Active Learning21 topic
- Anomaly Detection21 topic
- COVID-1921 topic
- Gaussian Processes21 topic
- Medical Imaging21 topic
- Unsupervised21 topic
Where does Ludwig Schmidt work?
Ludwig Schmidt's main affiliation in the publication record is Massachusetts Institute of Technology, United States.
How many publications and citations does Ludwig Schmidt have?
Science Explorer counts 21 works and 383 citations for Ludwig Schmidt, ranking #229,108 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.
Other researchers named Ludwig Schmidt
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