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From learning to meta-learning: Reduced training overhead and complexity for communication systems
Osvaldo Simeone
, Sangwoo Park
, Joonhyuk Kang
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
58
Scopus citations
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Dive into the research topics of 'From learning to meta-learning: Reduced training overhead and complexity for communication systems'. Together they form a unique fingerprint.
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Keyphrases
Active Observation
50%
Adaptation
25%
Bias Training
25%
Black-box Model
25%
Communication Systems
100%
Configuration Change
25%
Inductive Bias
100%
Learning Procedure
50%
Machine Learning Models
25%
Machine Learning Techniques
25%
Meta-learning
100%
Neural Network
25%
Reduced Training
100%
System Configuration
25%
Time Complexity
25%
Time Requirement
25%
Training Complexity
100%
Training Data
25%
Training Overhead
100%
Training Time
25%
Computer Science
Configuration Change
50%
Constrained Model
50%
Domain Knowledge
50%
Machine Learning
100%
Neural Network
50%
System Configuration
50%
Time Complexity
50%
Time Requirement
50%
Training Data
50%