A single adaptive deep joint source-channel coding model with budget-conditioned token selection and Lyapunov-based resource allocation achieves better accuracy-compression trade-offs than static DJSCC and digital baselines on Imagenette classification.
Conditional computation in neural networks: Principles and research trends,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Adaptive Semantic Token Communication for Transformer-based Edge Inference
A single adaptive deep joint source-channel coding model with budget-conditioned token selection and Lyapunov-based resource allocation achieves better accuracy-compression trade-offs than static DJSCC and digital baselines on Imagenette classification.