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Found 5 papers, 0 papers with code
TDG: Text-guided Domain Generalization
Domain generalization (DG) attempts to generalize a model trained on single or multiple source domains to the unseen target domain.
A Specific Task-oriented Semantic Image Communication System for substation patrol inspection
Inspired by that only some specific details of the image are needed in such substation patrol inspection task, we proposed a new paradigm of semantic enhancement in such specific task to ensure the clarity of key semantic information when facing a lower bit rate or a low signal-to-noise ratio situation.
Mitigating barren plateaus of variational quantum eigensolvers
Variational quantum algorithms (VQAs) are expected to establish valuable applications on near-term quantum computers.
Fundamental limitations on optimization in variational quantum algorithms
Exploring quantum applications of near-term quantum devices is a rapidly growing field of quantum information science with both theoretical and practical interests.
Machine-learning-enhanced time-of-flight mass spectrometry analysis
Mass spectrometry is a widespread approach to work out what are the constituents of a material.
