Call For Papers are not limited to the following topics:
Data compression (e.g., images, video, audio) with machine learning
Deep Model compression
Signal processing approaches for efficnet learning model construction
Quantization, Low-rank factorization, entropy coding, and stochastic coding
Knowledge distillation
Lottery Ticket Hypothesis
Fundamental performance bounds/limits of learned compression
Signal processing and information theoretic models
Computationally-efficient models/methods
Learning efficient deep neural networks under memory and compute constraints for on-device applications
On-device learning
Edge analytics using efficient models for deploying industrail applications
Sustainable AI