WS1-ICASSP 2024 : Deep Neural Network Model Compression, IEEE ICASSP 2024

https://2024.ieeeicassp.org/satellite-workshops/
https://cmsworkshops.com/ICASSP2024/workshops.php?noheader#tut1

Formatting guidelines- https://cmsworkshops.com/ICASSP2024/papers/paper_kit.php

Submission link- https://cmsworkshops.com/ICASSP2024/Papers/Submission.asp?Type=WS&ID=1

Please note that the accepted papers will be IEEE Xplore indexed.

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 efficient learning model construction
Quantization, Low-rank factorization, entropy coding, and stochastic coding
Knowledge distillation
Lottery Ticket Hypothesis
Neural Architecture Search
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 industrial applications
Sustainable AI

Submission link: https://cmsworkshops.com/ICASSP2024/Papers/Submission.asp?Type=WS&ID=1
Workshop date: April 15, 2024