2023
AAAI
AAAI 2023
Internal Robust Representations for Domain Generalization
Abstract
Abstract Model generalization under distributional changes remains a significant challenge for machine learning. We present consolidating the internal representation of the training data in a model as a strategy of improving model generalization.
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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Machine Learning
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Artificial Intelligence > Learning Paradigms > Transfer Learning
Machine Learning > Core Methods > Representation Learning
Machine Learning > Application Areas > Domain Generalization
Machine Learning > Learning Types > Representation Learning
Machine Learning > Learning Types > Domain Generalization
Deep Learning > Learning Types > Representation Learning
Deep Learning > Learning Types > Domain Adaptation
Artificial Intelligence > Learning Paradigms > Domain Generalization