Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing

By: 
Vishal Monga; Yuelong Li; Yonina C. Eldar

Deep neural networks provide unprecedented performance gains in many real-world problems in signal and image processing. Despite these gains, the future development and practical deployment of deep networks are hindered by their black-box nature, i.e., a lack of interpretability and the need for very large training sets. An emerging technique called algorithm unrolling, or unfolding, offers promise in eliminating these issues by providing a concrete and systematic connection between iterative algorithms that are widely used in signal processing and deep neural networks. Unrolling methods were first proposed to develop fast neural network approximations for sparse coding. More recently, this direction has attracted enormous attention, and it is rapidly growing in both theoretic investigations and practical applications. The increasing popularity of unrolled deep networks is due, in part, to their potential in developing efficient, high-performance (yet interpretable) network architectures from reasonably sized training sets.

SPS on Twitter

  • CALL FOR PROPOSALS: The IEEE Workshop on Automatic Speech Recognition and Understanding is now soliciting proposals… https://t.co/gzYreLyroa
  • authors have started uploading their conference slides and posters to IEEE SPS SigPort! Get a sneak pea… https://t.co/XGvnfdrHIb
  • DEADLINE EXTENDED: The IEEE Journal of Selected Topics in Signal Processing is accepting papers for a Special Issue… https://t.co/E89M7bEFlu
  • Voting for the IEEE SPS 5-Minute Video Clip Contest is now live! Check out the three finalists and cast your vote f… https://t.co/fbqgHY1tw7
  • CALL FOR PROPOSALS: Now seeking proposals for the 2024 IEEE International Workshop on Machine Learning for Signal P… https://t.co/l7V1bF2qhT

SPS Videos


Signal Processing in Home Assistants

 


Multimedia Forensics


Careers in Signal Processing             

 


Under the Radar