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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.

D
Advanced Bandit Algorithms Research
Domain Adaptation and Few-Shot Learning
Recommender Systems and Techniques
Sentiment Analysis and Opinion Mining
+1
J
Advanced Neural Network Applications
AI in Cancer Detection
Domain Adaptation and Few-Shot Learning
Medical Image Segmentation Techniques
+1
C
Advanced Neural Network Applications
Advanced Neuroimaging Techniques and Applications
AI in Cancer Detection
Domain Adaptation and Few-Shot Learning
+1
F
Advanced Wireless Communication Techniques
Anomaly Detection Techniques and Applications
Cardiac Electrophysiology and Arrhythmias
Domain Adaptation and Few-Shot Learning
+1
B
Advanced Image and Video Retrieval Techniques
Bayesian Methods and Mixture Models
Domain Adaptation and Few-Shot Learning
Face and Expression Recognition
+1
A
Astro and Planetary Science
Coding Theory and Cryptography
Domain Adaptation and Few-Shot Learning
GNSS Positioning and Interference
+1
B
Biomedical Engineering
Machine Learning
Neuroscience
Advanced Neural Network Applications
+2
C
Cognitive Modeling
Data Mining and Its Applications
Machine Learning
Machine Learning and Data Classification
+4
P
Prashnna Gyawali

Tenure Track Faculty - Assistant Professor

Computer Science

West Virginia University

Domain Adaptation and Few-Shot Learning
ECG Monitoring and Analysis
Generative Adversarial Networks and Image Synthesis
Machine Learning in Healthcare
+1
C
Adaptive Dynamic Programming Control
Advanced Bandit Algorithms Research
Data Stream Mining Techniques
Domain Adaptation and Few-Shot Learning
+1
Y
Advanced Graph Neural Networks
Domain Adaptation and Few-Shot Learning
Metaheuristic Optimization Algorithms Research
Neural Networks and Applications
+1
D
Advanced Graph Neural Networks
Complex Network Analysis Techniques
Domain Adaptation and Few-Shot Learning
Imbalanced Data Classification Techniques
+1
A
Machine Learning
Representation Learning
Stochastic Gradient Optimization Techniques
Reinforcement Learning in Robotics
+3
Y
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Generative Adversarial Networks and Image Synthesis
+1
Y
Machine Learning, Including Generative Modelling, Representation Learning, Robustness, and Kernel Methods, as Well as Application to Computer Vision and Natural Language Processing
Optimization Algorithms, Including Convex and Non Convex Optimization, Distributed and Federated Learning, Iteration Complexity Bounds, Robust and Stochastic Optimization
Sparse and Compressive Sensing Techniques
Stochastic Gradient Optimization Techniques
+3
S
Adversarial Robustness in Machine Learning
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
Multimodal Machine Learning Applications
+1
S
Computational Biology
Explainable AI
Machine Learning
Gene Expression and Cancer Classification
+4
R
Computer Vision
Human-Centered AI
Machine Learning
Natural Language Processing
+6
P
Explainable AI
Generative AI
Machine Learning
Natural Language Processing
+5
A
Aidong Zhang

Thomas M. Linville Professor, Computer Science, Biomedical Engineering, and Data Science

Computer Science

University of Virginia

Concept-Based Learning
Generative AI
Interpretable and Fair Learning
Machine Learning
+6
Z
Artificial Intelligence (computer Vision)
Multimodal Machine Learning Applications
Domain Adaptation and Few-Shot Learning
Advanced Image and Video Retrieval Techniques
+2
J
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Natural Language Processing Techniques
Speech and Dialogue Systems
+1
M
Mahdi Soltanolkotabi

Andrew and Erna Viterbi Early Career Chair and Professor of Electrical and Computer Engineering, Computer Science, and Industrial and Systems Engineering

Ming Hsieh Department of Electrical and Computer Engineering

University of Southern California

Domain Adaptation and Few-Shot Learning
Machine Learning and Algorithms
Privacy-Preserving Technologies in Data
Sparse and Compressive Sensing Techniques
+1
V
Adversarial Robustness in Machine Learning
Domain Adaptation and Few-Shot Learning
Machine Learning and Algorithms
Machine Learning and Data Classification
+1
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