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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.

S
Machine Learning
Reinforcement Learning in Robotics
Robot Manipulation and Learning
Machine Learning and Algorithms
+2
C
Advanced Image and Video Retrieval Techniques
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
Multimodal Machine Learning Applications
+1
S
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Domain Adaptation and Few-Shot Learning
+1
T
Advanced Image and Video Retrieval Techniques
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Natural Language Processing Techniques
+1
K
Kishlay Jha

Assistant Professor, Electrical and Computer Engineering

Department of Electrical and Computer Engineering

University of Iowa

Advanced Text Analysis Techniques
Biomedical Text Mining and Ontologies
Domain Adaptation and Few-Shot Learning
Machine Learning in Healthcare
+1
Y
Domain Adaptation and Few-Shot Learning
Mental Health via Writing
Multimodal Machine Learning Applications
Sentiment Analysis and Opinion Mining
+1
A
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Advanced Vision and Imaging
Domain Adaptation and Few-Shot Learning
+1
Y
Cancer-Related Molecular Mechanisms Research
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Spinal Fractures and Fixation Techniques
+1
D
Advanced Image and Video Retrieval Techniques
Advanced Vision and Imaging
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
+1
J
Cell Image Analysis Techniques
Domain Adaptation and Few-Shot Learning
Single-Cell and Spatial Transcriptomics
D
Domain Adaptation and Few-Shot Learning
Generative Adversarial Networks and Image Synthesis
Multimodal Machine Learning Applications
Seismic Imaging and Inversion Techniques
+1
C
AI for Society
AI Safety
Data Mining
Graph Machine Learning
+8
D
Deep Learning
Graph Representation Learning
Machine Learning
Time Series Analysis
+5
L
Community Health and Development
Disaster Management and Resilience
Domain Adaptation and Few-Shot Learning
Homelessness and Social Issues
+1
S
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Domain Adaptation and Few-Shot Learning
+1
P
Domain Adaptation and Few-Shot Learning
Machine Learning and Data Classification
Multimodal Machine Learning Applications
Natural Language Processing Techniques
+1
B
Bo Liu

Associate Professor, School of Electrical, Computing, and Software Engineering

School of Electrical, Computing, and Software Engineering

University of Arizona

Domain Adaptation and Few-Shot Learning
Face and Expression Recognition
Machine Learning and Data Classification
Machine Learning and Elm
+1
H
Huanrui Yang

Assistant Professor, School of Electrical, Computing, and Software Engineering

School of Electrical, Computing, and Software Engineering

University of Arizona

Advanced Memory and Neural Computing
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Domain Adaptation and Few-Shot Learning
+1
P
Pascal Germain

Département d'informatique et de génie logiciel

Computer Science

Université Laval

Apprentissage Machine
Intelligence Artificielle (ia)
Machine Learning and Algorithms
Domain Adaptation and Few-Shot Learning
+3
I
Data Mining
Deep Learning
Topic Modeling
Bayesian Modeling and Causal Inference
+3
A
Adam Klivans

Director of AI Initiatives for the School of Computing, Professor, Admiral B. R. Inman Centennial Chair in Computing Theory #2

Computer Science

The University of Texas at Austin

Machine Learning
Theoretical Computer Science
Machine Learning and Algorithms
Complexity and Algorithms in Graphs
+3
K
Advanced Image and Video Retrieval Techniques
Advanced Vision and Imaging
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
+1
X
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Domain Adaptation and Few-Shot Learning
+1
M
Michael Ryoo

SUNY Empire Innovation Associate Professor

Computer Science

Stony Brook University

Computer Vision
Robotics
Human Pose and Action Recognition
Multimodal Machine Learning Applications
+3
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