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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.

R
Ram Nevatia

Fletcher Jones Professor in Computer Science and Professor of Computer Science and Electrical and Computer Engineering

Computer Science

University of Southern California

Advanced Image and Video Retrieval Techniques
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
Multimodal Machine Learning Applications
+1
J
Jiebo Luo

Albert Arendt Hopeman Professor of Engineering; Professor of Computer Science

Computer Science

University of Rochester

AI for Healthcare
Computer Vision
Data Mining
Human Computer Interaction
+8
N
Advanced Image and Video Retrieval Techniques
Complex Network Analysis Techniques
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
+1
A
Adriana Kovashka

Associate Professor and Department Chair

Computer Science

University of Pittsburgh

Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
+1
D
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
Multimodal Machine Learning Applications
Reinforcement Learning in Robotics
+1
D
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Surgical Simulation and Training
E
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Surgical Simulation and Training
D
Adversarial Learning
Imbalanced Data
Randomized Search Heuristics
Semi-Supervised Learning
+6
Q
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Microbial Community Ecology and Physiology
Sparse and Compressive Sensing Techniques
+1
S
Advanced Neural Network Applications
Data Visualization and Analytics
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
+1
H
Domain Adaptation and Few-Shot Learning
Lung Cancer Treatments and Mutations
Multimodal Machine Learning Applications
Natural Language Processing Techniques
+1
J
Complex Datasets
Deep Learning
Density Estimation
Generative Models
+13
Z
Machine Learning
Statistics
Theoretical Computer Science
Adversarial Robustness in Machine Learning
+4
M
3D/Multimodal Learning
Computer Vision
Human-Robot Interaction
Mechanical Design
+6
G
First-Person Vision
Human Behavior Modeling
Multi-Modal Deep Learning
Transfer Learning
+6
T
Clothing Recognition
Computer Vision
Gaze Pattern Analysis
Human-In-The Loop Recognition
+10
A
Assistive Technology
Augmented Reality
Computer Vision
Machine Learning
+7
G
Advanced Neural Network Applications
Big Data and Digital Economy
Domain Adaptation and Few-Shot Learning
Parallel Computing and Optimization Techniques
+1
H
Honglak Lee

Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Computer Vision
Deep Learning
Machine Learning
Multimodal Machine Learning Applications
+4
S
Advanced Graph Neural Networks
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Recommender Systems and Techniques
+1
P
Advanced Wireless Communication Technologies
Domain Adaptation and Few-Shot Learning
Generative Adversarial Networks and Image Synthesis
Reinforcement Learning in Robotics
+1
P
Domain Adaptation and Few-Shot Learning
Face Recognition and Analysis
Gait Recognition and Analysis
Human Pose and Action Recognition
+1
W
Advanced Neural Network Applications
Advanced Vision and Imaging
Anomaly Detection Techniques and Applications
Domain Adaptation and Few-Shot Learning
+1
X
Domain Adaptation and Few-Shot Learning
Face and Expression Recognition
Face Recognition and Analysis
Generative Adversarial Networks and Image Synthesis
+1
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