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


When Apr 14, 2024 - Apr 19, 2024
Where Seoul, Korea
Submission Deadline Dec 15, 2023
Categories    deep learning   signal processing   embedded   pruning

Call For Papers

Formatting guidelines-

Submission link-

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:
Workshop date: April 15, 2024

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