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Domain Adaptation and Few-Shot Learning

Domain Adaptation and Few-Shot Learning

198 faculty research Domain Adaptation and Few-Shot Learning on GradNova.

A
Machine Learning
Reinforcement Learning in Robotics
Domain Adaptation and Few-Shot Learning
Adversarial Robustness in Machine Learning
J
Artificial Intelligence > Computer Vision, Medical Imaging, Image and Video Processing
Artificial Intelligence > Machine Learning, Data Mining
Big Data and Data Science > Big Data Modeling, Analysis, Optimization, Scalability
Bioinformatics and Health Informatics
+6
S
Shuiwang Ji

Professor, Computer Science & Engineering

Computer Science

Texas A&M University

Advanced Graph Neural Networks
Cell Image Analysis Techniques
Domain Adaptation and Few-Shot Learning
Machine Learning in Materials Science
+1
C
Chelsea Finn

Assistant Professor of Computer Science and of Electrical Engineering

Computer Science

Stanford University

Domain Adaptation and Few-Shot Learning
Generative Adversarial Networks and Image Synthesis
Multimodal Machine Learning Applications
Natural Language Processing Techniques
+1
S
Stefano Ermon

Associate Professor of Computer Science and Senior Fellow at the Woods Institute for the Environment

Computer Science

Stanford University

Anomaly Detection Techniques and Applications
Geographic Information Systems Studies
Infrastructure Maintenance and Monitoring
Landslides and Related Hazards
+6
Q
Domain Adaptation and Few-Shot Learning
Memory and Neural Mechanisms
Memory Processes and Influences
Neural and Behavioral Psychology Studies
+1
R
Artificial Intelligence, Machine Learning, and Natural Language Processing
Graphics, Visualization, and Geometric Modeling
Robotics and Computer Vision
Advanced Neural Network Applications
+4
O
Human-Computer Interaction
Machine Learning
Vision & Graphics
Industrial Vision Systems and Defect Detection
+4
K
Natural Language Processing
Topic Modeling
Natural Language Processing Techniques
Multimodal Machine Learning Applications
+2
B
Machine Learning
Natural Language Processing
Vision & Graphics
Topic Modeling
+4
R
Human-Computer Interaction
Machine Learning
Vision & Graphics
Explainable Artificial Intelligence (xai)
+4
B
Machine Learning
Reinforcement Learning in Robotics
Machine Learning and Data Classification
Domain Adaptation and Few-Shot Learning
+2
J
Machine Learning
Robotics
Vision & Graphics
Advanced Neural Network Applications
+4
V
Machine Learning
Evaluation of Teaching Practices
Reinforcement Learning in Robotics
Ethics and Social Impacts of AI
+2
M
Advanced Bandit Algorithms Research
Domain Adaptation and Few-Shot Learning
Machine Learning and Algorithms
Sparse and Compressive Sensing Techniques
+1
S
Artificial Intelligence and Robotics
Data Science and Engineering
Advanced Neural Network Applications
Semantic Web and Ontologies
+3
Y
Energy Systems
The Wallace Energy Systems & Renewables Facility (wesrf)
Wesrf Linkedin
Advanced Image and Video Retrieval Techniques
+4
H
Advanced Combustion Engine Technologies
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
+1
S
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
Multimodal Machine Learning Applications
+1
P
Learning Theory
Trustworthy Machine Learning
Machine Learning and Algorithms
Domain Adaptation and Few-Shot Learning
+3
A
Computational Models of Mind and Brain
Computer Vision
Machine Learning
Mathematical Models of Cognition
+6
X
Xiangyang Li

Master of Science in Security Informatics Program Director and Associate Teaching Professor

Computer Science

Johns Hopkins University

Human Security Informatics
Information Security
Security Intelligence
Advanced Image and Video Retrieval Techniques
+4
J
Computer Vision
Machine Learning
Multimodal AI
Natural Language Processing
+5
H
Advanced Graph Neural Networks
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Plant Gene Expression Analysis
+1
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