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Multimodal Machine Learning Applications

Multimodal Machine Learning Applications

254 faculty research Multimodal Machine Learning Applications on GradNova.

L
Multimodal Machine Learning Applications
Optimization and Search Problems
Reinforcement Learning in Robotics
Robotic Path Planning Algorithms
+1
D
Human Pose and Action Recognition
Multimodal Machine Learning Applications
Reinforcement Learning in Robotics
Robot Manipulation and Learning
+1
Z
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
+1
J
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
+1
J
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Advanced Vision and Imaging
Multimodal Machine Learning Applications
+1
I
Advanced Image and Video Retrieval Techniques
Advanced Vision and Imaging
Human Pose and Action Recognition
Multimodal Machine Learning Applications
+1
B
Advanced Vision and Imaging
Computer Graphics and Visualization Techniques
Generative Adversarial Networks and Image Synthesis
Human Pose and Action Recognition
+1
S
AI-Based Problem Solving and Planning
Multimodal Machine Learning Applications
Reinforcement Learning in Robotics
Robot Manipulation and Learning
+1
S
Sarah Adel Bargal

Assistant Professor and Provost's Distinguished Faculty Fellow

Computer Science

Georgetown University

Computer Vision
Machine Learning
Multimodal Machine Learning Applications
Adversarial Robustness in Machine Learning
+3
Z
Ziyu Yao

Assistant Professor, Department of Computer Science

Computer Science

George Mason University

Human-AI Interaction
Machine Learning
Natural Language Processing
Topic Modeling
+4
J
Jana Košecká

Professor, Department of Computer Science

Computer Science

George Mason University

Machine Learning
Navigation
Visual Perception
Robotics and Sensor-Based Localization
+4
A
Antonios Anastasopoulos

Associate Professor, Department of Computer Science

Computer Science

George Mason University

Natural Language Processing (nlp)
Natural Language Processing Techniques
Topic Modeling
Multimodal Machine Learning Applications
+2
A
Explainable Artificial Intelligence (xai)
Intelligent Tutoring Systems and Adaptive Learning
Multimodal Machine Learning Applications
Online Learning and Analytics
+1
C
Advanced Graph Neural Networks
Cloud Computing and Resource Management
Graph Theory and Algorithms
Multimodal Machine Learning Applications
+1
J
Jian Pei

Arthur S. Pearse Distinguished Professor of Computer Science

Department of Electrical and Computer Engineering

Duke University

AI in Service Interactions
Artificial Intelligence in Healthcare and Education
Multimodal Machine Learning Applications
Topic Modeling
B
Bhuwan Dhingra

Assistant Professor of Computer Science

Computer Science

Duke University

Adversarial Robustness in Machine Learning
Multimodal Machine Learning Applications
Natural Language Processing Techniques
Text Readability and Simplification
+1
S
Soroush Vosoughi

Associate Professor of Computer Science Faculty Member, Institute for Security, Technology and Society

Computer Science

Dartmouth College

Complex Network Analysis Techniques
Misinformation and Its Impacts
Multimodal Machine Learning Applications
Natural Language Processing Techniques
+1
N
Nikhil Singh

Assistant Professor of Computer Science Director, SAHAS lab

Computer Science

Dartmouth College

Adversarial Robustness in Machine Learning
Ethics and Social Impacts of AI
Explainable Artificial Intelligence (xai)
Multimodal Machine Learning Applications
+1
S
Souyoung Jin

Assistant Professor of Computer Science

Computer Science

Dartmouth College

Advanced Neural Network Applications
Face Recognition and Analysis
Human Pose and Action Recognition
Multimodal Machine Learning Applications
+1
D
Explainable Artificial Intelligence (xai)
Multimodal Machine Learning Applications
Natural Language Processing Techniques
Text Readability and Simplification
+1
C
Claire Cardie

John C. Ford Professor of Engineering in the Departments of Computer Science and Information Science

Computer Science

Cornell University

Automatic Analysis of Opinions, Argumentation, and Deception in Text
Human Centered Natural Language Processing
Human Interaction
Information Extraction
+8
Y
Yoav Artzi

Associate Professor of Computer Science

Computer Science

Cornell University

Machine Learning
Natural Language Processing
Topic Modeling
Natural Language Processing Techniques
+3
R
Richard Zemel

Trianthe Dakolias Professor of Engineering and Applied Science and Professor of Computer Science

Computer Science

Columbia University

Domain Adaptation and Few-Shot Learning
Generative Adversarial Networks and Image Synthesis
Multimodal Machine Learning Applications
Neural Networks and Applications
+1
Z
Human-Computer Interaction
Machine Learning
Multimodal Analysis
Natural Language Processing
+5
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