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Multimodal Machine Learning Applications Research Faculty | GradNova

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Multimodal Machine Learning Applications

Multimodal Machine Learning Applications

109 faculty research Multimodal Machine Learning Applications on GradNova.

J

Professor, Department of Computer Science

Computer Science

George Mason University

Machine Learning

Visual Perception

Robotics and Sensor-Based Localization

+4

A

Antonios Anastasopoulos

Assistant Professor, Department of Computer Science

Computer Science

George Mason University

Natural Language Processing (nlp)

Natural Language Processing Techniques

Multimodal Machine Learning Applications

+2

C

Assistant Professor

Computer Science

Emory University

Advanced Graph Neural Networks

Cloud Computing and Resource Management

Graph Theory and Algorithms

Multimodal Machine Learning Applications

+1

...

J

Arthur S. Pearse Distinguished Professor of Computer Science Professor of Biostatistics & Bioinformatics, Professor of Electrical and Computer Engineering (Joint)

Computer Science

Duke University

Artificial Intelligence in Healthcare and Education

Multimodal Machine Learning Applications

B

Assistant Professor of Computer Science

Computer Science

Duke University

Multimodal Machine Learning Applications

Natural Language Processing Techniques

Semantic Web and Ontologies

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

S

Assistant Professor of Computer Science

Computer Science

Dartmouth College

Domain Adaptation and Few-Shot Learning

Face Recognition and Analysis

Human Pose and Action Recognition

Multimodal Machine Learning Applications

+1

V

RKS Family Professor of Computer Science

Computer Science

Columbia University

Computer Networks

Information Theory

Modeling and Performance Evaluation

With Particular Attention to Net Neutrality and the Economics of the Internet

+5

T

Thomas Williams

Associate Professor

Computer Science

Colorado School of Mines

Analytical Chemistry Methods Development

Human-Automation Interaction and Safety

Multimodal Machine Learning Applications

Neural Networks and Applications

+1

J

Non-Tax Levy POI-Teaching

Computer Science

City University of New York

Electoral Systems and Political Participation

Multimodal Machine Learning Applications

Natural Language Processing Techniques

Political Influence and Corporate Strategies

+4

J

Jonathan Francis

Courtesy Faculty

Computer Science

Carnegie Mellon University

Multimodal Machine Learning Applications

Reinforcement Learning in Robotics

Social Robot Interaction and Hri

A

Special Faculty - Contingent

Computer Science

Carnegie Mellon University

Domain Adaptation and Few-Shot Learning

Multimodal Machine Learning Applications

Natural Language Processing Techniques

+1

D

Daphne Ippolito

Assistant Professor

Computer Science

Carnegie Mellon University

Multimodal Machine Learning Applications

Natural Language Processing Techniques

Privacy-Preserving Technologies in Data

Text Readability and Simplification

+1

C

Associate Professor without Tenure

Computer Science

Carnegie Mellon University

Data Management and Algorithms

Multimodal Machine Learning Applications

Natural Language Processing Techniques

+1

A

Alexander G Hauptmann

Research Professor

Computer Science

Carnegie Mellon University

Advanced Image and Video Retrieval Techniques

Image Retrieval and Classification Techniques

Multimodal Machine Learning Applications

Music and Audio Processing

+1

E

Assistant Professor

Computer Science

Carnegie Mellon University

Explainable Artificial Intelligence (xai)

Machine Learning in Materials Science

Multimodal Machine Learning Applications

Natural Language Processing Techniques

+1

Y

Associate Professor

Computer Science

University of Washington

Ethics & Fairness

Human-Centered AI

Natural Language Processing

+4

D

Raj Reddy Assistant Professor in Robotics

Computer Science

Carnegie Mellon University

Domain Adaptation and Few-Shot Learning

Human Pose and Action Recognition

Multimodal Machine Learning Applications

Reinforcement Learning in Robotics

+1

T

Teruko Mitamura

Research Professor

Computer Science

Carnegie Mellon University

Multimodal Machine Learning Applications

Natural Language Processing Techniques

Semantic Web and Ontologies

Speech and Dialogue Systems

+1

K

Katerina Fragkiadaki

Associate Professor without Tenure

Computer Science

Carnegie Mellon University

Advanced Neural Network Applications

Advanced Vision and Imaging

Human Pose and Action Recognition

Multimodal Machine Learning Applications

+1

R

Ruslan Salakhutdinov

UPMC Professor of Computer Science

Computer Science

Carnegie Mellon University

Domain Adaptation and Few-Shot Learning

Multimodal Machine Learning Applications

Natural Language Processing Techniques

Reinforcement Learning in Robotics

+1

Y

Assistant Professor

Computer Science

Carnegie Mellon University

Multimodal Machine Learning Applications

Robot Manipulation and Learning

Social Robot Interaction and Hri

S

Shinji Watanabe

Associate Professor with Tenure

Computer Science

Carnegie Mellon University

Advanced Neural Network Applications

Adversarial Robustness in Machine Learning

Multimodal Machine Learning Applications

Natural Language Processing Techniques

+1

Y

Professor & Canada Research Chair

Computer Science

Carleton University

Domain Adaptation and Few-Shot Learning

Face and Expression Recognition

Multimodal Machine Learning Applications

Text and Document Classification Technologies

+4