Neural codecs

Digital recordings and converting between them.

Notcompressing neural networks themselevs, but rather using them to compress other things, in the sense of using them to reconstruct things with low error, especially in concert with existing noisy data transmission pipelines. Of course, we might try to do both at once and then think about minimum description length. that might be interesting.


Ananthabhotla, Ishwarya, Sebastian Ewert, and Joseph A. Paradiso. 2019. β€œTowards a Perceptual Loss: Using a Neural Network Codec Approximation as a Loss for Generative Audio Models.” In Proceedings of the 27th ACM International Conference on Multimedia, 1518–25. Nice France: ACM.
Collobert, Ronan, Awni Hannun, and Gabriel Synnaeve. 2019. β€œA Fully Differentiable Beam Search Decoder.” In Proceedings of the 36th International Conference on Machine Learning, 1341–50. PMLR.
Eusebio, Paulo, Joao Ascenso, and Fernando Pereira. 2021. β€œOptimizing an Image Coding Framework with Deep Learning-Based Pre- and Post-Processing.” In 2020 28th European Signal Processing Conference (EUSIPCO), 506–10. Amsterdam, Netherlands: IEEE.
Guleryuz, Onur G., Philip A. Chou, Hugues Hoppe, Danhang Tang, Ruofei Du, Philip Davidson, and Sean Fanello. 2021. β€œSandwiched Image Compression: Wrapping Neural Networks Around A Standard Codec.” In 2021 IEEE International Conference on Image Processing (ICIP), 3757–61. Anchorage, AK, USA: IEEE.
Klopp, Jan P., Keng-Chi Liu, Liang-Gee Chen, and Shao-Yi Chien. 2021. β€œHow to Exploit the Transferability of Learned Image Compression to Conventional Codecs.” In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 16160–69. Nashville, TN, USA: IEEE.
Qiu, Kaitian, Lu Yu, and Daowen Li. 2021. β€œCodec-Simulation Network for Joint Optimization of Video Coding With Pre- and Post-Processing.” IEEE Open Journal of Circuits and Systems 2: 648–59.
Shin, Richard, and Dawn Song. 2017. β€œJPEG-Resistant Adversarial Images.” In NIPS 2017 Workshop on Machine Learning and Computer Security, 1:8.
Toderici, George, Sean M. O’Malley, Sung Jin Hwang, Damien Vincent, David Minnen, Shumeet Baluja, Michele Covell, and Rahul Sukthankar. 2016. β€œVariable Rate Image Compression with Recurrent Neural Networks.” arXiv.

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