Skip to content
conftrace_
2025 ICML ICML 2025

Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

David Heurtel-Depeiges, Anian Ruoss, Joel Veness, Tim Genewein

Topics

Artificial Intelligence > Core AI > Foundation Models Deep Learning > Architectures > Transformers Deep Learning > Techniques > Pretraining

Keywords

transformer audio compression multi-modal pretrained images
Download PDF